EDUC 152. Intro to quantitative research in education: Regression analysis

Bivariate regression

1 Introduction

“Bivariate regression” refers to regression models with two variables, a \(Y\) variable (“dependent variable” or “outcome”) and a single \(X\) variable (“independent variable”)

“Multivariate regression” refers to regression models with a \(Y\) variable and two or more \(X\) variables

This lecture – which we will teach over several weeks – teaches the fundamental concepts of bivariate regression. All of these concepts will be the same when we move on to multivariate regression in the subsequent lecture

1.1 Libraries, data, functions

CLICK HERE FOR OZAN’S NOTES TO SELF ON WHICH YEAR OF IPEDS TUITION PRICE DATA TO MERGE TO WHICH YEAR OF SCORECARD DATA

SCORECARD DATA

• df_debt_earn_panel_labelled, field_ay==‘2017-18’ refers to “FieldOfStudyData1617_1718”
• terms scorecard uses to refer to year/time period
  • Acad yr Academic Year; differs by institution, but generally the period from September to June (e.g., AcadYr 2013-14 = 9/1/2013 - 5/31/2014)
  • AY Award Year (e.g. AY 2013-14 = 7/1/2013-6/30/2014)
  • CY Calendar Year (e.g. CY 2014 = 1/1/14-12/31/14)
  • DCY IPEDS Data Collection Year (e.g., DCY2013-14 = the 2013-14 IPEDS collection)
• variables
  • ipedscount1 = Number of awards to all students in year 1 of the pooled debt cohort
    • for scorecard “FieldOfStudyData1617_1718” data, this refers to degrees granted in AY 2016-17 reported in IPEDS DCY2017-18
  • ipedscount2 = number of awards to all students in year 2 of the pooled debt cohort
    • for scorecard “FieldOfStudyData1617_1718” data, this refers to degrees granted in AY 2017-18 reported in IPEDS DCY2018-19
• assumptions about relationship between MA degree awards and when students started MA program
  • Most (full-time) MA programs take one or two academic years to complete
  • Assuming two years for MA degree completion:
    • students awarded MA degrees in AY 2016-17 (e.g., May 2017) initially enrolled in Fall 2015 of 2015-16 academic year (year 1 = 2015-16; year 2 = 2016-17)
      • first paid tuition in fall 2015
    • students awarded MA degrees in AY 2017-18 (e.g., May 2018) initially enrolled in Fall 2016 of 2016-17 academic year (year 1 = 2016-17; year 2 = 2017-18)
      • first paid tuition in fall 2016

IPEDS DATA

• if you are matching IPEDS tuition price to ipedscount1 of “FieldOfStudyData1617_1718” data
  • choose tuition price from fall 2015 of 2015-16 academic year
    • file ic2015 provides tuition price for 2015-16 academic year
    • in df_ipeds_panel data frame, this is associated with year==2015
• if you are matching IPEDS tuition price to ipedscount2 of “FieldOfStudyData1617_1718” data
  • choose tuition price from fall 2016 of 2016-17 academic year
    • file ic2016 provides tuition price for 2016-17 academic year
    • in df_ipeds_panel data frame, this is associated with year==2016

DECISION

• assume we are matching IPEDS tuition price to ipedscount2 of “FieldOfStudyData1617_1718” data
• therefore: filter(year==2016)

# uncomment below line to remove all objects
  #rm(list = ls())

# Libraries
  #install.packages('tidyverse') # if you haven't installed already
  #install.packages('labelled') # if you haven't installed already
  #install.packages('patchwork') # if you haven't installed already

library(tidyverse) # load tidyverse package
library(labelled) # load labelled package package
library(patchwork)

##########
########## TENNESSEE STAR DATA
##########

# load star data
load(file = url('https://github.com/anyone-can-cook/educ152/raw/main/data/star/star_panel_data.RData'))

#df_star_panel %>% glimpse()

# create data frame for STAR experiment, keeping only kindergarten
df_stark <- df_star_panel %>% 
  # keep only kindergarten year
  filter(grade ==1) %>% 
  # keep only observations with non-missing value for reading score
  filter(!is.na(read)) %>%
  # keep only observations with non-missing values for treatment assignment
  filter(!is.na(star)) %>%
  # drop observations where treatment status is regular+aide
  filter(star !=3) %>%
  # keep selected variables
  select(id,grade,star,read,gender,ethnicity,lunch,school,degree,experience) %>%
  # create a variable "treatment" that equals 1 if student receives treatment (small class) and equals 0 otherwise
  mutate(
    treatment = if_else(star==2,1,0)
  )

df_stark %>% glimpse()
#> Rows: 3,745
#> Columns: 11
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4...
#> $ gender     <dbl+lbl> 2, 2, 1, 1, 1, 2, 2, 2, 1, 1, 1, 1, 2, 2, 1, 1, 1, 2, 1, 2, 1, 2, 2, 2, 2, 2, 1, 1, 2, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 1, 1, 1, 2, 2, 1, 1, 2, 2, 1, 1, 2, 2, 2, 1, 2, 1, 1, 2, 1, 1, 2, 2, 2, 2, 1, 2, 1, 1, 2, 2, 2, 2, 1, 1, 1, 2, 1, 1, 2, 2, 2, 2, 1, 1, 2, 1, 2, 1, 1, 1, 2, 2, 1, 1, 2, 1, 1, 1, 2, 2, 1, 1, 2, 1, 1, 1, 1, 2, 1, 1, 2, 2, 2, 2, 1, 1, 2, 1, 1, 2, 2, 1, 2, 1, 1, 1, 1, 2, 2, 1, 2, 1, 1, 2, 2, 1, 1, 1, 2, 2, 1, 1, 2, 2, 1, 2, 1, 1, 1, 1, 1, 2, 2, 2, 1, 2, 1, 1, 1, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 2, 1, 2, 2, 1, 2, 2, 2, 2, 1, 2, 1, 1, 2, 1, 2, 1, 1, 2, 1, 1, 1, 2, 1, 2, 2, 1, 1, 1, 2, 1, 1, 2, 1, 2, 1, 2, 1, 1, 1, 1, 2, 2, 1, 1, 1, 1, 2, 2, 1, 1, 2, 2, 2, 2, 1, 1, 2, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 1, 2, 1, 1, 1, 1, 2, 1, 2, 2, 2, 1, 1, 1, 2, 1, 1, 2, 1, 2, 1, 2, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 2, 2, 1, 2, 2, 1, 1, 2, 1, 2, 1, 1, 2, 1, 2, 1, 2, 1, 2, 2, 2, 1, 1, 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...
#> $ lunch      <dbl+lbl>  1,  1,  1,  2,  2,  1,  1,  1,  1,  1,  1,  1,  2,  1,  2,  1,  2,  1,  1,  2,  1,  2,  2,  1,  2,  1,  1,  1,  1,  1,  1,  2,  1,  1,  1,  1,  1,  1,  2,  1,  2,  1,  1,  2,  1,  2,  1,  1,  1,  2,  2,  2,  1,  2,  2,  1,  1,  1,  2,  1,  2,  1,  1,  2,  2,  2,  2,  2,  1,  2,  1,  1,  2,  1,  1,  1,  1,  1,  1,  2,  2,  1,  1,  1,  2,  1,  2,  2,  1,  2,  1,  2,  2,  2,  2,  1, NA,  2,  2,  2,  1,  2,  1,  2,  1,  2,  1,  2,  2,  2,  1,  1,  2,  2,  1,  2,  2,  2,  1,  1,  1,  2,  2,  2,  2,  1,  2,  1,  1,  2,  2,  2,  2,  1,  2,  2,  1,  1,  1,  2,  2,  1,  2,  1,  1,  2,  2,  2,  1,  2,  2,  2,  1,  1,  2,  2,  1,  1,  2,  2,  1,  2,  2,  1,  1,  2,  2,  1,  1,  2,  1,  2,  1,  2,  1,  1,  1,  1,  2,  1,  1,  1,  1,  2,  2,  1,  2,  1,  1,  2,  1,  1,  1,  1,  1,  2,  1,  1,  2,  2,  1,  1,  2,  1,  2,  1,  2,  1,  1,  1,  2,  2,  1,  2,  1,  1,  2,  2,  1,  1,  1,  1,  2,  1,  1,  1,  2,  1,  2,  1,  1,  1,  1,  2,  1,  2,  1,  1,  1,  2,  2,  2,  2,  2,  1,  2,  2,  1,  2,  1,  1,  2,  2,  2,  1,  1,  2,  1,  2,  1,  2,  2,  2,  2,  2,  1,  2,  1,  2,  2,  1,  1,  1,  2,  1,  1,  2,  1,  2,  1,  1,  2,  2,  1,  2,  2,  1,  2,  2,  1,  1,  1,  2,  1,  1,  2,  1,  1,  1,  1,  2,  1,  1,  2,  1,  1,  2,  2,  2,  2,  1,  2,  2,  1,  1,  1,  1,  2,  2,  1,  1,  2,  2,  2,  1,  2,  1,  2,  1,  1,  1,  2,  2,  2,  1,  1,  2,  2,  2,  2,  2,  2,  2,  1,  2,  1,  1,  1,  2,  1,  1,  2,  1,  1,  1,  1,  2,  1,  2,  1,  2,  1,  2,  2,  1,  2,  1,  2,  2,  2,  2,  1,  1,  1,  2,  2,  1,  1,  2,  1,  2,  1,  1,  2,  1,  2,  2,  2,  1,  1,  2,  2,  2,  1,  2,  2,  2,  1,  2,  1,  2,  1,  1,  1,  1,  2,  2,  1,  1,  2,  1,  1,  2,  2,  1,  1,  2,  2,  1,  1,  1,  1,  1,  1,  1,  1,  2,  2,  1,  2,  1,  2,  1,  2,  2,  1,  2,  1,  2,  1,  2,  1,  1,  2,  2,  2,  2,  1,  2,  2,  2,  2,  2,  1,  1,  1,  2,  1,  1,  1,  2,  1,  2,  1,  1,  1,  2,  1,  1,  1,  2,  1,  2,  2,  2,  1,  2,  1,  1,  1,  2,  2,  2,  2,  1,  2,  1,  2,  1,  2,  1,  1,  1,  2,  2,  2,  1,  2,  2,  2,  2,  2,  2,  2,  1,  2,  2,  1,  1,  1,  1,  2,  2,  2,  2,  2,  1,  1,  1,  2,  2,  2,  2,  2,  2,  2,  2,  1,  2,  1,  1,  2,  1,  2,  1,  1,  2,  1,  1,  2,  1,  1,  2,  1,  2,  1,  2,  1,  1,  1,  1,  2,  1,  2,  1,  1,  1,  1,  2,  2,  2,  1,  2,  2,  1,  2,  2,  2,  1,  2,  2,  2,  1,  2,  1,  1,  2,  1,  2,  2,  1,  1,  2,  1,  2,  1,  2,  1,  1,  1,  2,  1,  1,  1,  2,  1,  1,  2,  1,  1,  1,  1,  1,  2,  2,  1,  1,  1,  2,  1,  2,  1,  2,  1,  2,  2,  2,  2,  1,  2,  1,  1,  1,  2,  2,  2,  1,  1,  1,  2,  1,  2,  1,  1,  1,  2,  2,  2,  1,  2,  2,  1,  1,  1,  1,  2,  1,  2,  2,  1,  2,  1,  1,  1,  2,  1,  1,  1,  1,  2,  1,  1,  2,  1,  2,  2,  1,  2,  2,  2,  1,  2,  1,  1,  2,  2,  1,  1,  2,  2,  2,  1,  1,  2,  1,  1,  1,  1,  1,  2,  1,  1,  2,  1,  2,  2,  2,  2,  2,  2,  1,  1,  1,  2,  1,  1,  1,  1,  1,  1,  2,  1,  2,  2,  2,  1,  2,  2,  2,  2,  1,  2,  2,  1,  2,  1,  1,  1,  2,  1,  2,  1,  1,  1,  1,  1,  1,  1,  2,  1,  1,  1,  1,  2,  2,  1,  2,  2,  1,  1,  2,  2,  1,  1,  1,  1,  2,  1,  1,  2,  1,  2,  2,  1,  1,  2,  1,  2,  1,  2,  2,  1,  2,  2,  2,  2,  2,  1,  1,  1,  2,  2,  2,  2,  2,  2,  1,  1,  2,  1,  2,  2,  1,  1,  1,  1,  2,  1,  1,  1,  1,  2,  1,  2,  2,  2,  2,  2,  1,  2,  2,  1,  2,  2,  1,  1,  1,  2,  2,  1,  2,  1,  1,  1,  1,  2,  2,  1,  2,  2,  1,  2,  1,  2,  2,  1,  1,  1,  1,  1,  1,  2,  1,  1,  2,  2,  2,  2,  1,  1,  2,  1,  2,  1,  1,  1,  2,  2,  2,  1,  2,  1,  2,  1,  2,  1,  1,  1,  2,  2,  2,  1,  2,  1,  1,  2,  2,  1,  2,  1,  2,  1,  1,  2,  1,  1,  1,  2,  1,  1,  1,  1, NA,  1,  2,  2,  1,  2,  2,  1,  2,  1,  1,  1,  1,  1,  1,  2,  2,  1,  2,  2,  1,  2,  2,  1,  2,  1,  1,  2,  1,  2,  2,  2,  2,  1,  2,  1,  2,  1,  2,  2,  1,  1,  2,  1,  1,  1,  2,  2,  2,  1,  1,  1,  1,  1,  1,  2,  1,  2,  1,  2,  1,  1,  1,  1,  1,  1,  1,  1,  1,  2,  2,  1,  2,  2,  1,  1,  2,  1,  1,  2,  2,  1,  2,  2,  1,  1,  2,  1,  2,  2,  2,  1,  2,  1,  1,  2,  2,  2,  2,  2,  1,  1,  1,  1,  2,  2,  2,  2,  2,  1,  2,  2,  2,  2,  2,  2,  2,  2,  2,  1,  1,  1,  2,  2,  1,  2,  1,  2,  1,  1,  2,  1,  2,  2,  2,  1,  2,  1, NA,  1,  1,  2,  2,  2,  1,  1,  1,  1,  2,  1,  1,  2,  2,  1,  2,  2,  2,  2,  1,  1,  2,  1,  1,  1,  2,  1,  2,  2,  1,  2,  1,  1,  1,  2,  2,  1,  2,  1,  1,  1,  2,  2,  1,  2,  2,  1,  1,  2,  1,  1,  2,  1,  1,  1,  1,  1,  2,  2,  2,  1,  2,  1,  1,  1,  1,  1,  1,  1,  1,  1,  2,  1,  1,  1,  1,  2,  2,  2,  2,  1,  2,  1,  1,  1,  2,  2,  2,  2,  2,  1,  1,  1,  2,  2,  2,  1,  1,  2,  2,  2,  2,  2,  1,  1,  1,  2,  2,  1,  2,  1,  2,  2,  1,  2,  1,  2,  1,  1,  1,  1,  2,  2,  2,  1,  2,  1,  1,  2,  1,  1,  2,  1,  2,  1,  2,  1,  1,  2,  1,  1,  1,  2,  1,  2,  2,  1,  1,  2,  1,  1,  1,  2,  1,  2,  1,  1,  1,  1,  1,  1,  2,  2,  1,  1,  1,  2,  1,  2,  2,  1,  2,  2,  1,  2,  2,  1,  1,  1,  2,  1,  2,  1,  2,  1,  1,  2,  1,  2,  2,  1,  2,  1,  2,  2,  2,  2,  2,  1,  2,  2,  2,  1,  1,  1,  1,  1,  1,  2,  1,  2,  1,  2,  2,  1,  2,  1,  1,  2,  1,  2,  2,  2,  1,  1,  1,  1,  2,  1,  1,  2,  1,  1,  1,  1,  1,  1,  2,  2,  1,  2,  2,  1,  1,  1,  1,  2,  2,  2,  1,  2,  2,  1,  2,  1,  2,  1,  1,  2,  1,  1,  2,  1,  2,  2,  2,  2,  1,  1,  1,  1,  2,  2,  2,  2,  2,  1,  1,  1,  2,  2,  1,  1,  1,  1,  2,  2,  2,  1,  1,  2,  2,  2,  1,  1,  1,  1,  2,  1,  1,  2,  1,  1,  1,  1,  2,  1,  1,  1,  2,  1,  2,  1,  2,  2,  1,  1,  1,  1,  1,  2,  2,  2,  1,  1,  1,  1,  1,  2,  2,  1,  1,  1,  2,  2,  2,  2,  2,  2,  2,  1,  1,  1,  2,  2,  1,  1,  2,  1,  2,  1,  1,  2,  1,  2,  1,  1,  1,  2,  1,  2,  2,  2,  2,  1,  1,  1,  2,  2,  1,  2,  2,  1,  1,  2,  1,  1,  1,  2,  1,  1,  2,  1,  1,  2,  1,  1,  2,  2,  2,  1,  2,  1,  2,  2,  1,  1,  1,  2,  1,  1,  1,  1,  1,  2,  1,  1,  1,  2,  1,  2,  2,  2,  1,  2,  1,  1,  2,  2,  1,  2,  1,  1,  2,  1,  2,  1,  1,  1,  1,  2,  2,  1,  1,  2,  1,  2,  1,  1,  2,  1,  2,  1,  1,  1,  1,  2,  1,  1,  2,  1,  1,  2,  2,  2,  1,  2,  2,  1,  1,  1,  1,  1,  1,  2,  2,  2,  2,  1,  2,  2,  1,  2,  1,  1,  2,  2,  2,  1,  2,  2,  2,  2,  1,  1,  1,  1,  1,  1,  2,  2,  2,  1,  1,  2,  1,  2,  1,  2,  2,  2,  1,  1,  1,  1,  2,  2,  2,  1,  1,  1,  2,  1,  1,  2,  2,  1,  2,  2,  2,  2,  2,  1,  1,  1,  2,  1,  2,  1,  1,  2,  1,  2,  1,  2,  1,  2,  2,  1,  2,  2,  1,  2,  2,  2,  2,  2,  1,  1,  1,  1,  1,  1,  2,  2,  2,  2,  2,  2,  2,  1,  1,  1,  2,  1,  2,  2,  2,  1,  2,  2,  1,  2,  1,  2,  1,  2,  1,  1,  1,  2,  1,  2,  1,  2,  2,  2,  1,  1,  1,  2,  2,  2,  2,  1,  1,  2,  1,  1,  2,  2,  2,  1,  1,  1,  2,  2,  1,  2,  1,  2,  2,  2,  1,  1,  2,  2,  2,  2,  1,  1,  2,  1,  2,  1,  1,  1,  2,  2, NA,  1,  1,  2,  1,  2,  2,  1,  1,  1,  2,  2,  1,  2,  1,  1,  1,  2,  1,  2,  1,  1,  2,  1,  1,  1,  1,  1,  1,  1,  1,  1,  2,  1,  1,  2,  1,  1,  2,  1,  2,  1,  1,  1,  2,  1,  2,  1,  1,  2,  1,  1,  2,  2,  2,  1,  2,  1,  2,  2,  2,  2,  2,  1,  1,  2,  2,  2,  2,  2,  1,  2,  1,  1,  2,  1,  1,  1,  1,  1,  1,  2,  1,  1,  2,  1,  2,  1,  1,  1,  2,  1,  2,  2,  2,  2,  2,  1,  2,  2,  1,  1,  2,  2,  1,  1,  1,  1,  2,  1, NA,  2,  2,  2,  2,  1,  1,  1,  2,  2,  1,  1,  2,  2,  2,  1,  1,  1,  2,  1,  1,  1,  1,  1,  1,  2,  1,  1,  2,  1,  1,  1,  1,  2,  1,  2,  1,  1,  1,  1,  1,  1,  1,  2,  2,  1,  1,  2,  1,  2,  2,  2,  1,  2,  2,  1,  2,  1,  2,  1,  1,  2,  1,  2,  1,  2,  1,  2,  2,  2,  1,  2,  1,  1,  1,  1,  2,  2,  2,  2,  2,  2,  2,  2,  2,  1,  2,  1,  2,  1,  1,  2,  2,  2,  1,  1,  2,  1,  1,  2,  2,  2,  1,  1,  2,  1,  2,  2,  2,  1,  2,  1,  1,  1,  1,  1,  1,  1,  2,  2,  2,  1,  2,  2,  1,  1,  2,  1,  1,  1,  1,  1,  2,  2,  2,  1,  1,  2,  1,  1,  2,  1,  1,  2,  2,  1,  1,  2,  1,  2,  1,  2,  2,  2,  2,  2,  2,  1,  1,  1,  2,  2,  1,  1,  1,  1,  1,  1,  2,  2,  1,  2,  2,  1,  2,  2,  1,  1,  1,  1,  1,  1,  1,  2,  2,  2,  2,  1,  2,  2,  2,  2,  1,  1,  1,  2,  1,  2,  1,  1,  1,  1,  1,  1,  1,  1,  1,  1,  2,  1,  1,  2,  2,  2,  2,  1,  2,  2,  1,  1,  2,  2,  2,  1,  1,  1, NA,  2,  2,  1,  2,  1,  1,  2,  1,  1,  1,  2,  1,  2,  1,  1,  1,  1,  1,  1,  2,  2,  2,  2,  2,  2,  2,  1,  2,  1,  1,  2,  1,  1,  1,  2,  1,  1,  1,  2,  1,  1,  1,  2,  1,  2,  1,  1,  2,  2,  1,  2,  1,  2,  1,  1,  2,  2,  1,  1,  1,  2,  2,  2,  1,  1,  1,  1,  1,  2,  2,  1,  2,  2,  1,  1,  1,  2,  2,  1,  1,  1,  2,  2,  1,  2,  1,  1,  1,  1,  2,  2,  2,  2,  2,  1,  2,  1,  1,  1,  1,  2,  1,  2,  1,  2,  1,  2,  1,  1,  2,  1,  1,  2,  2,  1,  2,  1,  1,  1,  2,  2,  1,  1,  2,  2,  1,  1,  1,  2,  2,  1,  2,  1,  1,  1,  1,  2,  1,  2,  2,  1,  1,  2,  1,  2,  1,  1,  1,  1,  1,  2,  2,  2,  2,  1,  1,  2,  1,  2,  1,  1,  2,  2,  2,  2,  2,  2,  2,  1,  2,  2,  1,  1,  2,  1,  1,  2,  1,  1,  2,  2,  1,  2,  1,  1,  1,  1,  1,  1,  2,  2,  1,  1,  2,  2,  1,  1,  1,  2,  2,  1,  2,  2,  2,  1,  1,  1,  1,  2,  2,  2,  2,  2,  1,  2,  1,  1,  2,  1,  2,  1,  2,  1,  2,  2,  1,  2,  1,  1,  1,  1,  2,  2,  1,  2,  2,  1,  1,  1,  2,  1,  1,  2,  1,  2,  2,  2,  2,  2,  1,  2,  1,  1,  2,  1,  2,  1,  1,  2,  2,  2,  2,  1,  2,  2,  2,  2,  1,  2,  2,  1,  1,  2,  1,  2,  2,  1,  1,  2,  1,  2,  2,  2,  1,  2,  2,  2,  2,  1,  1, NA,  2,  1,  1,  2,  2,  2,  2,  1,  1,  1,  1,  2,  1,  1,  2,  1,  1,  1,  1,  1,  2,  2,  1,  2,  1,  1,  2,  1,  2,  2,  1,  1,  2,  2,  2,  1,  2,  1,  2,  1,  1,  2,  2,  2,  1,  1,  2,  2,  2,  2,  2,  2,  2,  2,  2,  1,  1,  2,  2,  1,  2,  1,  2,  2,  2,  1,  2,  2,  2,  2,  1,  1,  2,  2,  2,  1,  1,  1,  2,  2,  2,  2,  1,  2,  2,  1,  2,  1,  2,  1,  2,  2,  1,  2,  1,  1,  2,  2,  2,  1,  1,  1,  1,  2,  1,  1,  2,  2,  1,  1,  1,  2,  1,  1,  2,  1,  1,  2,  2,  1,  1,  1,  1,  2,  2,  1,  1,  2,  1,  1,  2,  1,  2,  1,  2,  2,  2,  1,  1,  1,  1,  2,  1,  2,  1,  1,  1,  2,  1,  2,  2,  2,  2,  1,  1,  1,  1,  1,  1,  1,  1,  2,  1,  1,  1,  2,  2,  1,  2,  2,  1,  2,  1,  2,  1,  1,  2,  2,  1,  1,  1,  2,  2,  2,  2,  1,  1,  1,  1,  1,  2,  1,  2,  1,  1,  1,  1,  2,  1,  1,  2,  2,  2,  2,  1, ...
#> $ school     <dbl+lbl> 3, 2, 3, 3, 3, 3, 3, 3, 3, 2, 3, 2, 2, 3, 3, 3, 4, 4, 3, 1, 3, 3, 3, 3, 3, 4, 4, 4, 3, 2, 2, 3, 1, 2, 3, 2, 3, 3, 2, 2, 1, 1, 3, 3, 2, 1, 2, 3, 3, 3, 1, 1, 1, 2, 3, 3, 2, 3, 2, 3, 4, 3, 3, 2, 3, 2, 1, 4, 3, 2, 4, 3, 3, 3, 3, 3, 3, 3, 3, 1, 3, 1, 3, 3, 3, 2, 1, 1, 4, 2, 3, 3, 3, 1, 3, 3, 3, 3, 2, 1, 3, 1, 3, 3, 2, 3, 3, 1, 1, 2, 4, 3, 1, 1, 3, 1, 3, 1, 2, 3, 2, 2, 1, 3, 3, 2, 1, 1, 3, 1, 4, 3, 3, 3, 1, 2, 3, 1, 3, 3, 4, 2, 3, 3, 2, 3, 2, 1, 3, 3, 2, 3, 2, 2, 3, 3, 4, 1, 3, 2, 3, 1, 1, 4, 2, 2, 3, 2, 3, 3, 3, 1, 3, 3, 3, 2, 3, 2, 1, 2, 3, 1, 3, 1, 2, 3, 1, 3, 2, 3, 2, 3, 3, 2, 2, 2, 3, 2, 3, 1, 3, 1, 1, 3, 1, 3, 2, 3, 3, 3, 1, 1, 4, 1, 3, 3, 3, 1, 2, 2, 3, 3, 3, 1, 3, 3, 2, 3, 1, 3, 3, 2, 2, 1, 3, 1, 2, 3, 4, 1, 1, 2, 3, 4, 3, 1, 3, 2, 1, 3, 3, 2, 3, 1, 2, 3, 3, 2, 4, 4, 3, 3, 1, 3, 3, 1, 3, 3, 1, 1, 3, 3, 3, 1, 4, 3, 1, 3, 1, 2, 3, 3, 3, 2, 3, 3, 2, 3, 1, 4, 3, 2, 1, 3, 3, 3, 3, 2, 3, 3, 2, 3, 2, 1, 4, 2, 3, 3, 3, 1, 2, 3, 2, 3, 3, 2, 2, 1, 3, 1, 1, 2, 1, 2, 3, 1, 3, 2, 3, 2, 2, 4, 4, 1, 3, 2, 3, 1, 1, 3, 1, 1, 3, 2, 3, 2, 2, 2, 3, 2, 3, 1, 3, 3, 2, 2, 1, 2, 1, 3, 2, 4, 3, 4, 4, 3, 2, 1, 2, 3, 4, 2, 3, 2, 3, 3, 4, 3, 2, 4, 2, 3, 3, 3, 3, 3, 3, 3, 2, 3, 3, 2, 3, 2, 3, 1, 3, 3, 3, 4, 1, 3, 2, 3, 3, 3, 1, 3, 2, 2, 3, 2, 2, 1, 3, 2, 1, 3, 2, 2, 3, 3, 3, 4, 4, 3, 3, 2, 3, 3, 3, 3, 3, 2, 3, 1, 1, 3, 1, 4, 1, 2, 4, 2, 3, 1, 1, 2, 2, 3, 1, 3, 3, 4, 4, 3, 3, 2, 3, 3, 3, 3, 3, 3, 3, 2, 3, 3, 4, 2, 4, 3, 4, 1, 1, 3, 1, 3, 2, 3, 1, 1, 1, 1, 3, 3, 3, 4, 4, 3, 3, 3, 3, 1, 1, 3, 3, 1, 3, 3, 3, 1, 3, 4, 1, 2, 1, 3, 2, 4, 3, 3, 1, 1, 1, 1, 2, 3, 2, 1, 1, 3, 3, 3, 3, 3, 3, 2, 1, 1, 3, 3, 3, 3, 3, 3, 2, 3, 2, 3, 3, 2, 3, 2, 3, 2, 1, 3, 3, 4, 3, 3, 3, 1, 2, 3, 2, 2, 1, 3, 1, 3, 3, 3, 3, 3, 1, 1, 3, 3, 1, 3, 3, 3, 3, 3, 3, 3, 3, 1, 2, 4, 4, 4, 4, 4, 1, 2, 2, 1, 1, 2, 3, 3, 1, 2, 3, 2, 3, 2, 3, 3, 3, 1, 1, 2, 2, 3, 1, 2, 3, 4, 4, 3, 3, 1, 1, 1, 2, 3, 2, 4, 3, 1, 3, 4, 3, 3, 3, 3, 2, 3, 3, 4, 3, 1, 3, 2, 3, 3, 3, 2, 3, 4, 2, 1, 2, 1, 3, 3, 1, 3, 2, 2, 2, 2, 4, 2, 2, 4, 2, 2, 3, 3, 1, 2, 2, 4, 1, 4, 3, 3, 3, 3, 2, 1, 2, 3, 1, 3, 3, 1, 3, 3, 3, 3, 3, 4, 2, 3, 3, 2, 2, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 3, 3, 4, 2, 3, 2, 2, 1, 3, 2, 1, 3, 2, 3, 3, 3, 1, 2, 2, 1, 2, 3, 3, 3, 3, 3, 3, 1, 3, 4, 3, 3, 2, 4, 3, 1, 2, 2, 3, 3, 3, 3, 2, 3, 3, 2, 3, 1, 1, 4, 3, 3, 3, 1, 4, 3, 3, 3, 3, 1, 3, 3, 1, 3, 3, 2, 2, 1, 3, 3, 1, 3, 3, 3, 3, 3, 2, 3, 4, 3, 1, 1, 1, 3, 3, 1, 3, 1, 3, 3, 3, 3, 1, 3, 2, 3, 3, 3, 2, 4, 3, 4, 1, 1, 1, 3, 1, 4, 2, 1, 2, 3, 2, 3, 3, 2, 3, 3, 3, 3, 3, 2, 3, 3, 2, 1, 1, 3, 3, 2, 3, 1, 2, 3, 3, 2, 3, 4, 3, 3, 3, 3, 3, 1, 4, 4, 3, 1, 4, 3, 3, 2, 4, 2, 4, 2, 2, 3, 4, 2, 2, 3, 2, 4, 3, 3, 3, 1, 3, 1, 3, 2, 3, 1, 3, 1, 2, 1, 3, 3, 2, 3, 4, 1, 3, 1, 3, 2, 3, 3, 2, 2, 3, 3, 1, 1, 3, 2, 4, 4, 1, 3, 3, 1, 3, 1, 2, 3, 3, 3, 3, 1, 2, 1, 3, 3, 1, 2, 1, 1, 2, 3, 3, 3, 3, 2, 2, 3, 1, 2, 4, 3, 3, 1, 3, 1, 2, 3, 2, 2, 2, 3, 3, 3, 3, 2, 2, 2, 3, 3, 4, 3, 3, 3, 3, 2, 2, 2, 3, 1, 3, 1, 3, 3, 3, 3, 3, 2, 1, 3, 3, 1, 1, 3, 2, 3, 3, 1, 2, 3, 3, 1, 3, 3, 3, 3, 1, 3, 4, 2, 4, 3, 3, 1, 3, 4, 4, 1, 4, 3, 2, 3, 3, 1, 2, 1, 1, 1, 3, 4, 3, 1, 1, 2, 1, 3, 1, 3, 2, 1, 3, 1, 1, 3, 3, 2, 3, 4, 3, 3, 1, 1, 4, 4, 3, 3, 2, 2, 2, 2, 1, 3, 4, 3, 1, 1, 2, 3, 4, 3, 3, 4, 2, 3, 3, 4, 3, 2, 4, 1, 4, 2, 1, 4, 3, 2, 4, 2, 3, 3, 3, 3, 4, 1, 2, 2, 1, 1, 1, 3, 3, 1, 3, 4, 4, 1, 3, 2, 3, 4, 3, 3, 3, 3, 3, 2, 3, 3, 2, 3, 3, 3, 2, 3, 1, 3, 1, 1, 4, 2, 3, 1, 3, 1, 1, 3, 2, 1, 3, 3, 2, 1, 3, 3, 3, 3, 1, 2, 4, 3, 4, 2, 4, 4, 3, 3, 1, 1, 3, 1, 4, 3, 1, 2, 1, 2, 4, 3, 2, 3, 1, 1, 2, 4, 3, 3, 1, 3, 2, 1, 3, 1, 3, 3, 3, 3, 3, 2, 3, 3, 3, 3, 2, 3, 4, 3, 1, 2, 3, 3, 4, 3, 3, 3, 3, 3, 3, 2, 2, 3, 3, 3, 4, 3, 3, 3, 1, 3, 3, 1, 2, 2, 3, 1, 4, 3, 2, 1, 3, 1, 3, 3, 3, 2, 3, 3, 1, 3, 3, 1, 3, 1, 3, 3, 1, 1, 3, 2, 3, 1, 2, 2, 3, 3, 2, 2, 1, 3, 1, 3, 2, 1, 3, 1, 3, 3, 3, 3, 3, 1, 3, 4, 3, 3, 1, 1, 3, 3, 3, 3, 4, 3, 2, 2, 2, 3, 3, 3, 1, 3, 2, 2, 3, 3, 4, 3, 3, 3, 1, 3, 2, 1, 3, 4, 2, 3, 3, 4, 2, 3, 3, 1, 3, 1, 3, 2, 1, 2, 3, 1, 2, 1, 3, 3, 2, 3, 1, 1, 3, 2, 2, 2, 2, 3, 3, 2, 3, 1, 1, 3, 1, 4, 3, 3, 2, 4, 3, 3, 4, 3, 2, 3, 2, 1, 3, 3, 2, 3, 4, 1, 1, 3, 3, 3, 2, 3, 2, 3, 3, 1, 1, 1, 3, 3, 2, 2, 3, 3, 3, 2, 3, 3, 3, 2, 2, 1, 3, 1, 2, 3, 2, 3, 3, 2, 3, 1, 2, 4, 4, 3, 1, 3, 3, 2, 2, 3, 1, 2, 1, 1, 3, 1, 3, 2, 2, 3, 3, 2, 1, 1, 2, 3, 2, 2, 3, 3, 1, 3, 3, 1, 2, 4, 3, 3, 3, 4, 1, 2, 3, 3, 3, 3, 2, 3, 2, 3, 1, 3, 2, 3, 2, 4, 3, 3, 3, 3, 3, 2, 1, 3, 2, 2, 1, 1, 2, 1, 1, 4, 1, 2, 3, 3, 2, 2, 3, 3, 3, 2, 1, 2, 4, 2, 3, 2, 1, 2, 2, 3, 3, 2, 3, 3, 4, 2, 1, 3, 3, 1, 2, 3, 3, 3, 1, 3, 3, 1, 3, 2, 2, 3, 1, 3, 3, 1, 3, 1, 3, 1, 1, 2, 1, 3, 3, 3, 4, 4, 3, 3, 1, 1, 1, 3, 1, 3, 3, 2, 3, 1, 3, 3, 1, 2, 1, 4, 1, 3, 1, 1, 3, 2, 2, 4, 3, 1, 1, 3, 3, 3, 3, 3, 3, 3, 4, 3, 3, 1, 3, 3, 4, 2, 3, 3, 2, 1, 3, 1, 2, 3, 3, 4, 2, 4, 3, 1, 1, 3, 2, 3, 3, 2, 1, 3, 1, 2, 1, 3, 4, 3, 2, 3, 3, 3, 3, 1, 3, 1, 3, 3, 3, 4, 1, 2, 3, 1, 3, 1, 2, 1, 1, 2, 3, 3, 3, 4, 1, 3, 3, 3, 1, 4, 1, 1, 3, 1, 2, 3, 4, 2, 2, 2, 3, 1, 3, 2, 2, 1, 2, 1, 1, 1, 3, 3, 2, 1, 3, 3, 2, 3, 1, 1, 1, 2, 2, 1, 1, 3, 1, 3, 2, 1, 3, 1, 4, 2, 3, 3, 3, 4, 4, 2, 2, 4, 2, 3, 1, 3, 2, 1, 3, 2, 3, 3, 4, 3, 3, 3, 1, 3, 3, 1, 3, 2, 3, 2, 3, 2, 2, 4, 3, 1, 2, 2, 1, 3, 3, 2, 4, 3, 3, 3, 3, 1, 3, 2, 3, 3, 3, 2, 2, 2, 4, 4, 2, 1, 3, 3, 2, 1, 1, 3, 3, 3, 3, 1, 2, 3, 3, 2, 1, 3, 3, 3, 3, 4, 3, 3, 4, 2, 1, 3, 3, 3, 1, 1, 3, 3, 3, 3, 2, 3, 3, 1, 4, 1, 3, 2, 3, 2, 4, 3, 3, 4, 2, 1, 3, 3, 3, 3, 1, 2, 3, 1, 2, 3, 2, 3, 1, 2, 1, 1, 3, 3, 2, 3, 1, 3, 4, 3, 4, 3, 3, 2, 3, 2, 3, 3, 2, 3, 2, 3, 1, 3, 2, 2, 2, 3, 4, 3, 3, 2, 3, 3, 4, 2, 3, 1, 3, 2, 1, 1, 1, 1, 2, 1, 3, 3, 3, 3, 4, 2, 3, 4, 2, 3, 1, 2, 1, 4, 1, 3, 3, 3, 3, 3, 1, 3, 1, 1, 3, 1, 1, 3, 3, 1, 3, 1, 1, 3, 3, 1, 1, 2, 3, 1, 2, 2, 3, 3, 3, 3, 4, 1, 2, 3, 1, 1, 2, 1, 3, 3, 3, 3, 2, 2, 2, 2, 1, 1, 3, 1, 1, 3, 3, 1, 3, 3, 3, 1, 3, 1, 1, 1, 3, 2, 1, 3, 3, 3, 2, 1, 3, 1, 2, 2, 3, 3, 1, 3, 4, 1, 1, 1, 3, 1, 1, 3, 3, 3, 3, 3, 3, 2, 3, 3, 2, 3, 1, 3, 1, 3, 1, 1, 1, 3, 2, 2, 2, 3, 4, 3, 1, 3, 3, 3, 1, 4, 3, 1, 3, 3, 2, 4, 3, 3, 1, 3, 2, 3, 1, 3, 2, 3, 4, 3, 3, 1, 3, 3, 1, 1, 3, 2, 2, 3, 3, 3, 3, 1, 3, 2, 4, 3, 4, 1, 2, 3, 3, 1, 1, 1, 1, 3, 3, 3, 3, 2, 3, 3, 2, 4, 2, 3, 3, 1, 4, 3, 1, 1, 1, 3, 3, 3, 3, 3, 1, 3, 1, 2, 1, 3, 2, 3, 1, 2, 4, 3, 2, 2, 1, 2, 3, 3, 1, 3, 1, 2, 2, 3, 3, 3, 3, 2, 1, 3, 1, 1, 3, 2, 3, 3, 3, 2, 3, 3, 1, 1, 1, 2, 2, 3, 3, 1, 3, 3, 3, 4, 1, 2, 2, 2, 3, 2, 3, 1, 1, 1, 3, 3, 1, 1, 1, 3, 3, 3, 4, 3, 3, 2, 1, 3, 2, 2, 3, 1, 2, 3, 1, 2, 3, 3, 3, 1, 3, 3, 1, 3, 3, 1, 3, 3, 3, 4, 3, 3, 3, 3, 3, 2, 3, 3, 3, 3, 3, 4, 2, 2, 1, 3, 3, 3, 3, 3, 2, 3, 1, 3, 1, 1, 3, 3, 3, 3, 3, 3, 3, 3, 1, 2, 3, 1, 3, 3, 2, 3, 1, 3, 4, 1, 4, 2, 3, 2, 4, 3, 3, 3, 3, 2, 3, 3, 3, 2, 4, 1, 1, 2, 3, 1, 3, 2, 3, 3, 1, 4, 1, 3, 4, 1, 4, 1, 3, 3, 2, 2, 3, 2, 1, 3, 1, 2, 3, 3, 1, 1, 2, 1, 3, 2, 2, 3, 3, 3, 3, 4, 3, 1, 1, 3, 4, 1, 3, 1, 2, 1, 2, 2, 4, 2, 1, 3, 3, 3, 3, 3, 3, 4, 3, 2, 2, 1, 4, 3, 3, 3, 3, 1, 3, 1, 3, 1, 3, 3, 4, 3, 3, 3, 4, 4, 1, 4, 3, 2, 2, 3, 1, 3, 2, 2, 2, 4, 3, 3, 4, 2, 3, 3, 3, 3, 2, 3, 1, 1, 3, 2, 4, 2, 3, 2, 3, 3, 1, 3, 3, 4, 2, 2, 1, 2, 3, 2, 2, 3, 3, 4, 3, 3, 3, 4, 1, 1, 3, 1, 3, 2, 2, 3, 1, 1, 3, 1, 2, 3, 3, 3, 1, 1, 1, 3, 4, 3, 2, 4, 4, 2, 3, 4, 3, 3, 3, 1, 3, 1, 2, 2, 4, 3, 3, 3, 3, 3, 3, 3, 3, 3, 1, 3, 1, 2, 1, 1, 3, 3, 3, 3, 3, 1, 3, 2, 4, 3, 1, 4, 1, 1, 2, 3, 4, 3, 3, 4, 3, 3, 3, 3, 3, 3, 4, 2, 3, 3, 2, 3, 3, 1, 4, 4, 2, 2, 2, 3, 2, 2, 1, 2, 2, 1, 3, 3, 3, 3, 2, 3, 3, 3, 2, 3, 3, 4, 4, 3, 3, 2, 3, 2, 1, 1, 1, 3, 3, 3, 3, 3, 2, 3, 2, 3, 1, 3, 3, 3, 3, 3, 3, 3, 2, 3, 2, 3, 1, 3, 4, 2, 1, 1, 3, 4, 1, 1, 3, 1, 3, 2, 3, 3, 2, 1, 4, 3, 1, 2, 3, 3, 3, 3, 3, 1, 2, 3, 3, 2, 2, 3, 2, 1, 4, 2, 2, 4, 3, 1, 1, 2, 4, 2, 1, 1, 3, 3, 3, 3, 1, 2, 3, 3, 3, 2, 3, 1, 2, 3, 3, 3, 4, 3, 3, 1, 3, 2, 3, 3, 3, 3, 4, 3, 3, 2, 3, 3, 2, 3, 3, 3, 3, 1, 4, 3, 3, 3, 3, 3, 3, 1, 3, 2, 3, 3, 3, 3, 3, 2, 3, 1, 3, 1, 2, 1, 1, 3, 3, 3, 3, 2, 4, 2, 3, 3, 3, 2, 1, 3, 3, 3, 3, 3, 2, 3, 2, 2, 2, 3, 3, 4, 3, 4, 2, 1, 1, 1, 1, 3, 3, 3, 3, 3, 3, 1, 2, 4, 3, 3, 3, 1, 3, 3, 1, 3, 2, 2, 3, 3, 3, 3, 1, 1, 2, 1, 4, 3, 2, 3, 3, 4, 3, 3, 4, 4, 1, 1, 2, 1, 3, 1, 3, 2, 2, 3, 1, 4, 3, 3, 3, 3, 1, 3, 3, 4, 3, 2, 3, 3, 3, 3, 1, 3, 1, 1, 2, 3, 4, 2, 1, 1, 2, 1, 1, 1, 2, 2, 2, 2, 3, 3, 3, 2, 1, 3, 3, 1, 3, 3, 2, 4, 3, 3, 2, 1, 1, 2, 4, 3, 4, 3, 3, 3, 2, 4, 3, 4, 4, 1, 1, 3, 2, 3, 1, 3, 3, 1, 1, 3, 4, 1, 3, 3, 1, 3, 3, 3, 3, 1, 3, 2, 3, 4, 1, 4, 1, 3, 3, 1, 1, 4, 3, 3, 2, 3, 4, 1, 4, 4, 4, 4, 3, 2, 1, 1, 4, 3, 3, 4, 4, 3, 3, 1, 1, 2, 3, 2, 3, 3, 1, 1, 3, 2, 2, 3, 2, 3, 3, 1, 3, 3, 4, 2, 2, 1, 3, 2, 3, 2, 3, 3, 1, 2, 3, 3, 3, 3, 3, 3, 3, 2, 3, 2, 4, 1, 2, 3, 3, 3, 1, 1, 2, 1, 3, 3, 4, 2, 1, 3, 1, 3, 3, 2, 4, 3, 3, 1, 3, 2, 3, 1, 1, 3, 2, 3, 3, 3, 1, 2, 3, 1, 3, 3, 3, 3, 2, 1, 2, 2, 3, 2, 3, 1, 1, 2, 3, 3, 3, 1, 3, 3, 3, 4, 3, 1, 2, 2, 2, 2, 3, 4, 3, 1, 3, 3, 3, 4, 3, 2, 3, 1, 3, 3, 4, 2, 1, 2, 1, 3, 3, 3, 1, 3, 3, 3, 3, 3, 1, 2, 3, 3, 2, 3, 3, 3, 2, 3, 3, 3, 4, 2, 3, 2, 3, 2, 4, 3, 3, 2, 4, 4, 3, 1, 3, 3, 2, 2, 3, 2, 1, 1, 2, 3, 2, 4, 3, 3, 1, 2, 3, 3, 3, 1, 3, 2, 3, 3, 3, 2, 3, 3, 3, 1, 2, 1, 3, 1, 1, 4, 3, 3, 1, 4, 2, 4, 2, 3, 1, 1, 4, 2, 2, 1, 3, 4, 3, 1, 1, 2, 3, 2, 4, 1, 4, 3, 3, 2, 2, 2, 1, 3, 2, 2, 3, 1, 4, 3, 1, 1, 2, 2, 3, 2, 3, 3, 2, 4, 2, 3, 3, 3, 2, 4, 1, 3, 2, 2, 2, 2, 3, 2, 1, 3, 1, 3, 3, 1, 3, 3, 2, 3, 2, 4, 3, 3, 3, 3, 3, 3, 2, 4, 3, 2, 2, 2, 3, 3, 1, 3, 3, 1, 3, 4, 3, 4, 3, 2, 3, 2, 3, 2, 3, 2, 3, 2, 3, 1, 3, 3, 3, 1, 2, 1, 4, 2, 3, 3, 3, 3, 3, 3, 3, 1, 3, 3, 2, 3, 3, 3, 1, 3, 2, 2, 3, 2, 3, 3, 2, 3, 2, 2, 3, 2, 3, 1, 2, 2, 3, 2, 3, 1, 1, 3, 1, 3, 3, 1, 3, 3, 1, 3, 2, 1, 3, 3, 1, 2, 3, 1, 1, 1, 3, 1, 2, 3, 1, 3, 3, 3, 3, 3, 3, 1, 3, 1, 1, 1, 2, 3, 3, 1, 1, 2, 2, 2, 2, 2, 2, 1, 2, 2, 3, 3, 4, 2, 1, 3, 3, 1, 1, 2, 2, 2, 1, 2, 1, 3, 3, 3, 3, 2, 3, 2, 1, 4, 2, 4, 2, 4, 3, 3, 3, 3, 4, 3, 2, 3, 3, 3, 3, 3, 4, 2, 3, 2, 2, 1, 1, 3, 3, 3, 3, 1, 4, 3, 3, 2, 3, 1, 2, 1, 2, 1, 2, 3, 3, 3, 2, 3, 1, 3, 3, 2, 3, 2, 2, 2, 1, 2, 3, 2, 4, 3, 2, 2, 1, 1, 3, 1, 3, 3, 3, 3, 3, 2, 1, 3, 1, 3, 3, 3, 2, 3, 2, 3, 3, 3, 3, 3, 1, 3, 1, 3, 3, 1, 1, 1, 1, 4, 3, 3, 1, 1, 1, 2, 4, 1, 3, 3, 3, 4, 2, 1, 1, 2, 1, 1, 3, 3, 3, 4, 3, 3, 2, 3, 3, 3, 3, 1, 3, 1, 2, 3, 1, 2, 2, 3, 3, 1, 3, ...
#> $ degree     <dbl+lbl> 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 2, 1, 2, 1, 2, 2, 1, 2, 1, 1, 2, 1, 1, 1, 2, 2, 4, 2, 1, 2, 1, 1, 2, 2, 2, 2, 2, 1, 1, 1, 1, 1, 2, 1, 1, 2, 1, 4, 1, 1, 1, 2, 1, 2, 1, 1, 1, 1, 1, 2, 1, 2, 1, 1, 1, 1, 2, 1, 1, 2, 1, 1, 1, 2, 2, 1, 1, 1, 1, 2, 1, 1, 2, 3, 1, 1, 1, 1, 4, 2, 2, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 4, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 2, 1, 2, 2, 1, 2, 2, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 2, 1, 2, 4, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 1, 2, 2, 1, 1, 1, 1, 1, 2, 2, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 2, 1, 2, 1, 1, 1, 1, 1, 2, 1, 2, 1, 1, 1, 1, 2, 1, 1, 2, 1, 1, 1, 1, 2, 2, 1, 4, 2, 2, 2, 1, 1, 2, 2, 1, 1, 1, 2, 1, 1, 1, 2, 2, 1, 1, 2, 1, 2, 2, 2, 1, 2, 2, 1, 1, 1, 1, 2, 1, 2, 2, 1, 2, 2, 1, 1, 1, 1, 1, 2, 1, 1, 2, 1, 1, 1, 2, 1, 3, 1, 1, 2, 2, 2, 1, 1, 1, 1, 1, 2, 1, 2, 1, 1, 2, 1, 1, 1, 2, 1, 1, 1, 1, 1, 2, 1, 2, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 2, 1, 1, 1, 1, 2, 2, 1, 2, 1, 2, 2, 1, 2, 2, 1, 1, 1, 2, 1, 2, 1, 1, 1, 2, 1, 1, 1, 1, 1, 2, 1, 2, 1, 1, 1, 1, 2, 1, 2, 1, 1, 2, 1, 1, 1, 1, 1, 2, 1, 1, 2, 2, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 2, 1, 1, 1, 2, 1, 1, 2, 1, 1, 2, 3, 1, 1, 1, 1, 1, 2, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 2, 1, 1, 1, 2, 1, 2, 1, 1, 2, 1, 2, 1, 3, 2, 1, 1, 4, 2, 1, 1, 1, 1, 2, 2, 1, 1, 1, 1, 2, 2, 1, 1, 1, 2, 1, 4, 4, 1, 1, 1, 1, 1, 2, 3, 4, 1, 2, 1, 1, 1, 1, 2, 4, 1, 4, 1, 2, 1, 1, 1, 2, 2, 1, 1, 1, 1, 1, 2, 1, 2, 2, 2, 1, 1, 2, 1, 2, 1, 2, 4, 1, 2, 1, 1, 1, 2, 2, 1, 1, 2, 1, 1, 2, 2, 1, 1, 1, 1, 1, 2, 1, 1, 1, 2, 1, 1, 1, 1, 3, 2, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 2, 2, 2, 2, 1, 2, 1, 1, 1, 1, 2, 4, 3, 1, 1, 1, 2, 1, 2, 1, 2, 1, 2, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 2, 1, 4, 4, 1, 2, 2, 1, 1, 2, 2, 1, 1, 1, 1, 2, 1, 4, 1, 2, 1, 2, 1, 2, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 2, 2, 1, 2, 1, 2, 1, 1, 1, 1, 1, 2, 1, 2, 1, 1, 2, 1, 1, 1, 3, 1, 2, 1, 1, 1, 1, 2, 2, 1, 1, 2, 2, 1, 2, 2, 1, 2, 1, 4, 1, 1, 2, 1, 2, 1, 1, 2, 1, 1, 1, 2, 2, 1, 1, 2, 1, 4, 1, 2, 1, 1, 2, 1, 1, 1, 1, 1, 2, 2, 1, 2, 1, 2, 1, 1, 1, 2, 1, 1, 1, 1, 2, 1, 1, 1, 2, 2, 1, 1, 2, 1, 1, 1, 1, 1, 2, 2, 2, 1, 2, 2, 2, 1, 1, 1, 1, 1, 2, 1, 2, 2, 3, 1, 1, 1, 2, 1, 1, 2, 1, 2, 1, 1, 1, 1, 1, 1, 2, 1, 2, 1, 1, 2, 1, 1, 4, 2, 1, 1, 1, 1, 1, 2, 1, 2, 1, 2, 1, 4, 2, 2, 4, 1, 1, 1, 1, 1, 2, 1, 2, 1, 1, 1, 4, 2, 2, 1, 2, 1, 2, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 2, 3, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 2, 2, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 2, 1, 2, 1, 2, 1, 1, 1, 1, 1, 1, 1, 2, 4, 2, 1, 4, 2, 2, 4, 2, 1, 4, 1, 2, 1, 1, 2, 2, 1, 1, 2, 1, 1, 2, 1, 1, 1, 1, 2, 1, 2, 2, 1, 1, 2, 2, 1, 1, 1, 2, 2, 1, 2, 2, 2, 1, 2, 2, 1, 1, 1, 2, 1, 4, 1, 1, 2, 2, 1, 2, 1, 1, 1, 2, 1, 1, 1, 1, 2, 1, 1, 2, 1, 1, 2, 1, 1, 1, 2, 1, 1, 2, 1, 1, 2, 2, 2, 1, 1, 2, 2, 2, 2, 1, 1, 2, 1, 2, 2, 1, 2, 2, 1, 4, 2, 2, 1, 2, 1, 1, 3, 2, 2, 2, 4, 1, 1, 1, 1, 1, 1, 2, 2, 1, 1, 2, 1, 1, 1, 2, 2, 1, 1, 1, 1, 2, 1, 1, 2, 1, 1, 2, 4, 2, 4, 1, 2, 2, 1, 2, 1, 1, 1, 2, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 2, 2, 1, 1, 1, 1, 2, 2, 1, 1, 2, 1, 2, 2, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 2, 1, 1, 1, 4, 1, 2, 1, 1, 4, 1, 2, 1, 2, 1, 1, 2, 1, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 2, 1, 2, 2, 1, 2, 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 1, 1, 1, 1, 2, 1, 1, 2, 1, 2, 2, 1, 2, 2, 1, 1, 1, 1, 1, 1, 1, 2, 1, 2, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 2, 1, 2, 1, 1, 1, 4, 2, 1, 3, 1, 2, 1, 2, 2, 1, 2, 1, 1, 2, 1, 1, 1, 2, 1, 1, 2, 2, 2, 2, 1, 1, 2, 1, 1, 2, 1, 1, 1, 2, 2, 1, 2, 1, 2, 1, 1, 1, 1, 2, 1, 2, 1, 1, 1, 2, 1, 2, 1, 2, 2, 2, 1, 2, 1, 1, 1, 1, 1, 2, 1, 1, 2, 1, 1, 2, 2, 1, 1, 1, 2, 1, 2, 2, 1, 1, 3, 1, 1, 1, 1, 1, 2, 1, 1, 2, 1, 1, 1, 2, 1, 1, 2, 1, 1, 1, 1, 1, 2, 1, 2, 1, 2, 1, 2, 1, 1, 2, 1, 1, 1, 1, 1, 2, 1, 2, 2, 2, 1, 1, 1, 2, 2, 1, 2, 1, 2, 2, 1, 2, 2, 1, 1, 1, 2, 1, 1, 1, 1, 1, 3, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 2, 1, 1, 1, 2, 1, 2, 1, 1, 2, 1, 4, 1, 2, 1, 2, 1, 1, 1, 1, 1, 2, 1, 3, 2, 1, 1, 1, 1, 1, 4, 1, 2, 2, 1, 1, 4, 2, 1, 1, 2, 2, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 2, 1, 2, 2, 1, 2, 1, 1, 2, 1, 2, 4, 2, 1, 1, 1, 2, 1, 2, 1, 1, 1, 1, 1, 1, 2, 2, 1, 2, 1, 1, 1, 2, 1, 1, 2, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 2, 1, 2, 2, 1, 1, 1, 1, 1, 1, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 4, 1, 1, 2, 4, 2, 1, 1, 1, 2, 2, 2, 1, 1, 1, 2, 1, 1, 1, 2, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 1, 1, 1, 2, 2, 1, 1, 2, 1, 1, 2, 2, 1, 1, 2, 2, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 2, 1, 2, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 2, 1, 2, 2, 1, 2, 1, 2, 4, 1, 1, 4, 1, 1, 2, 1, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 2, 2, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 2, 1, 1, 1, 2, 1, 1, 1, 1, 2, 2, 2, 2, 1, 1, 1, 1, 1, 1, 2, 1, 4, 1, 1, 2, 1, 1, 1, 1, 2, 2, 1, 1, 1, 1, 1, 1, 1, 2, 1, 2, 1, 1, 1, 2, 2, 1, 1, 2, 2, 1, 1, 1, 1, 2, 4, 1, 1, 1, 1, 1, 2, 2, 1, 1, 1, 1, 1, 1, 2, 2, 2, 1, 2, 1, 2, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 2, 2, 4, 1, 2, 1, 2, 2, 1, 1, 2, 2, 1, 4, 2, 2, 2, 1, 1, 1, 1, 1, 1, 3, 2, 2, 1, 1, 1, 2, 1, 1, 2, 4, 1, 1, 1, 2, 2, 1, 1, 2, 1, 1, 2, 2, 1, 2, 1, 2, 1, 1, 1, 1, 1, 2, 2, 1, 1, 1, 2, 2, 2, 2, 1, 1, 1, 1, 1, 3, 2, 1, 1, 2, 2, 2, 2, 1, 1, 2, 1, 1, 2, 1, 2, 2, 1, 2, 4, 2, 4, 4, 2, 1, 1, 1, 2, 1, 1, 1, 2, 1, 2, 1, 1, 1, 2, 1, 2, 2, 1, 1, 1, 2, 1, 2, 2, 1, 1, 1, 1, 1, 1, 2, 1, 2, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 2, 1, 2, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 2, 1, 1, 1, 2, 2, 1, 1, 1, 2, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 2, 1, 1, 1, 2, 1, 4, 1, 2, 4, 2, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 1, 2, 1, 2, 2, 2, 1, 1, 1, 1, 1, 2, 1, 1, 2, 2, 2, 1, 1, 1, 2, 1, 2, 4, 1, 1, 2, 2, 2, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 2, 4, 1, 2, 1, 2, 2, 1, 1, 2, 2, 1, 1, 2, 1, 2, 1, 2, 1, 1, 1, 2, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 2, 2, 1, 2, 4, 2, 1, 2, 1, 1, 2, 2, 2, 1, 1, 2, 1, 2, 1, 1, 1, 1, 2, 1, 2, 1, 2, 2, 1, 1, 1, 3, 1, 1, 2, 1, 1, 1, 1, 2, 2, 1, 1, 1, 4, 1, 2, 1, 1, 1, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 2, 1, 3, 2, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 2, 4, 2, 1, 1, 1, 2, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 2, 2, 1, 1, 2, 1, 2, 1, 2, 1, 1, 2, 2, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 1, 1, 2, 2, 2, 1, 1, 1, 1, 4, 1, 1, 1, 2, 1, 2, 1, 2, 2, 1, 2, 1, 1, 2, 1, 1, 1, 4, 1, 2, 1, 1, 2, 1, 1, 1, 1, 3, 1, 2, 4, 1, 1, 3, 2, 2, 1, 2, 2, 2, 1, 2, 2, 1, 1, 1, 2, 1, 1, 2, 1, 2, 2, 1, 1, 1, 1, 1, 2, 1, 2, 2, 1, 2, 1, 1, 2, 4, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 2, 1, 4, 1, 1, 1, 2, 2, 2, 2, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 2, 1, 2, 1, 1, 1, 1, 2, 2, 4, 1, 1, 1, 2, 1, 4, 1, 1, 1, 2, 2, 1, 1, 1, 1, 1, 4, 1, 2, 1, 1, 2, 1, 1, 1, 2, 2, 1, 2, 1, 2, 1, 2, 2, 1, 1, 1, 1, 1, 1, 1, 2, 1, 2, 1, 1, 1, 1, 1, 1, 2, 1, 2, 1, 2, 1, 2, 1, 1, 1, 1, 1, 1, 2, 1, 2, 2, 1, 2, 1, 1, 2, 4, 1, 1, 2, 1, 2, 1, 1, 1, 1, 2, 1, 1, 1, 2, 2, 1, 1, 1, 2, 1, 1, 1, 1, 1, 4, 1, 1, 2, 1, 1, 4, 1, 1, 2, 1, 2, 1, 2, 1, 2, 2, 2, 4, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 2, 1, 2, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 2, 2, 1, 2, 2, 1, 1, 1, 2, 1, 1, 2, 1, 2, 1, 2, 2, 3, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 2, 1, 1, 2, 1, 1, 1, 2, 1, 1, 1, 1, 1, 2, 1, 1, 2, 1, 1, 1, 3, 2, 1, 1, 1, 1, 1, 2, 1, 2, 1, 1, 1, 4, 2, 2, 2, 1, 1, 2, 1, 1, 1, 1, 2, 1, 4, 2, 3, 2, 1, 1, 1, 1, 2, 1, 1, 1, 1, 2, 1, 2, 2, 2, 2, 3, 1, 1, 1, 1, 2, 1, 2, 1, 1, 1, 2, 1, 2, 1, 1, 1, 4, 1, 2, 1, 2, 2, 2, 1, 3, 1, 1, 2, 2, 1, 2, 2, 1, 2, 1, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 1, 1, 1, 1, 1, 2, 1, 1, 2, 1, 1, 2, 2, 1, 1, 1, 1, 2, 2, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 2, 2, 2, 1, 1, 1, 2, 1, 2, 1, 1, 2, 1, 1, 2, 2, 1, 1, 1, 2, 1, 1, 1, 1, 2, 1, 2, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 2, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 2, 1, 4, 1, 1, 1, 1, 1, 2, 1, 1, 4, 1, 2, 1, 1, 1, 1, 2, 4, 2, 1, 1, 1, 1, 1, 1, 1, 3, 1, 2, 1, 4, 3, 1, 1, 1, 2, 1, 2, 2, 2, 1, 2, 1, 1, 2, 1, 2, 1, 2, 2, 2, 2, 1, 1, 1, 2, 1, 1, 1, 2, 1, 2, 2, 2, 1, 2, 1, 2, 2, 1, 1, 1, 2, 1, 1, 1, 2, 1, 2, 1, 4, 1, 1, 1, 2, 2, 1, 1, 1, 2, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 3, 2, 1, 2, 2, 1, 1, 2, 2, 1, 1, 1, 1, 2, 2, 1, 1, 2, 1, 1, 2, 2, 1, 1, 1, 2, 2, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 2, 1, 2, 1, 1, 2, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 4, 1, 2, 1, 2, 4, 2, 1, 2, 1, 2, 4, 1, 1, 3, 1, 1, 1, 1, 1, 2, 2, 1, 2, 2, 2, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 1, 1, 1, 1, 2, 1, 1, 1, 2, 1, 1, 1, 3, 2, 2, 2, 2, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 1, 1, 1, 1, 1, 3, 2, 2, 2, 1, 2, 2, 1, 1, 1, 1, 2, 2, 2, 1, 1, 1, 1, 1, 2, 1, 2, 1, 2, 2, 1, 4, 1, 1, 2, 1, 1, 1, 1, 1, 1, 2, 1, 2, 2, 1, 1, 1, 1, 1, 2, 2, 1, 1, 2, 1, 1, 1, 2, 1, 1, 2, 1, 1, 2, 1, 1, 2, 1, 1, 2, 1, 1, 2, 1, 1, 2, 2, 2, 1, 1, 2, 2, 2, 1, 2, 1, 1, 1, 2, 2, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 2, 2, 2, 2, 1, 2, 4, 1, 2, 1, 2, 1, 2, 2, 1, 2, 1, 1, 1, 2, 1, 1, 1, 2, 3, 1, 1, 1, 2, 1, 2, 1, 1, 1, 1, 1, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 1, 1, 2, 2, 1, 1, 2, 1, 1, 1, 1, 2, 1, 1, 1, 2, 1, 2, 1, 1, 1, 1, 1, 2, 2, 2, 1, 1, 1, 4, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 4, 1, 2, 1, 2, 4, 1, 2, 1, 1, 2, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 2, 1, 2, 1, 1, 1, 2, 1, 1, 1, 2, 1, 1, 1, 1, 1, 2, 4, 2, 2, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 2, 1, 1, 2, 2, 2, 4, 1, 2, 1, 1, 2, 2, 2, 1, 2, 1, 1, 2, 1, 1, 1, 1, 1, 2, 2, 2, 1, 1, 1, 2, 2, 1, 1, 2, 2, 1, 2, 2, 1, 1, 1, 2, 4, 2, 1, 1, 1, 1, 1, 1, 2, 1, 1, 2, 1, 1, 1, 1, 1, 2, 1, 1, 2, 1, 1, 4, 2, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 2, 1, 2, 1, 1, 1, 1, 1, 2, 4, 1, 1, 1, 1, 2, 4, 2, 1, 1, 1, 1, 1, 2, 1, 2, 1, 1, 2, 1, 1, 1, 1, 2, 1, 2, 1, 1, 1, 2, 1, 2, 1, 1, 1, 1, 1, 2, 1, 1, 1, 2, 1, 2, 2, 2, 2, 2, 2, 1, 1, 1, 1, 1, 2, 4, 2, 1, 1, 2, 2, 1, 2, 1, 1, 2, 1, 2, 2, 1, 1, 1, 1, 1, 1, 2, 1, 2, 1, 2, 1, 1, 2, 1, 1, 1, 2, 1, 1, 1, 4, 1, 1, 1, 2, 1, 1, 1, 2, 2, 1, 2, 2, 2, 1, 2, 2, 2, 2, 2, 1, 1, 1, 2, 1, 1, 2, 2, 1, 1, 1, 1, 1, 1, 1, 2, 1, 2, 1, 1, 2, 2, 1, 4, 1, 1, 1, 1, 1, 1, 1, 3, 2, 1, 1, 1, 2, 4, 2, 2, 1, 1, 1, 2, 1, 2, 1, 1, 1, 1, 1, 1, 1, ...
#> $ experience <int> 7, 21, 16, 5, 8, 3, 11, 10, 13, 0, 6, 13, 1, 8, 13, 13, 14, 8, 13, 0, 8, 15, 8, 10, 4, 7, 17, 12, 4, 0, 18, 4, 12, 14, 13, 14, 5, 5, 1, 5, 2, 2, 11, 13, 5, 0, 4, 5, 8, 2, 11, 14, 13, 3, 15, 20, 11, 20, 6, 11, 12, 6, 12, 18, 2, 11, 1, 17, 0, 13, 17, 20, 4, 15, 6, 10, 4, 16, 8, 6, 15, 10, 15, 8, 10, 3, 6, 6, 1, 13, 13, 9, 8, 6, 11, 8, 19, 8, 18, 3, 12, 5, 6, 8, 10, 8, 2, 11, 0, 14, 0, 7, 7, 0, 21, 0, 12, 12, 0, 1, 5, 3, 1, 2, 10, 14, 2, 1, 4, 11, 1, 0, 0, 3, 15, 3, 13, 3, 10, 11, 12, 11, 8, 16, 15, 10, 1, 9, 15, 8, 4, 4, 16, 13, 4, 9, 13, 9, 4, 12, 11, 1, 2, 11, 13, 14, 6, 11, 12, 6, 4, 9, 1, 10, 12, 8, 12, 15, 1, 20, 6, 9, 5, 0, 4, 14, 12, 2, 8, 6, 3, 15, 17, 14, 15, 4, 3, 11, 7, 10, 12, 9, 6, 1, 3, 1, 0, 8, 6, 11, 15, 10, 5, 9, 11, 5, 13, 24, 13, 7, 8, 5, 4, 9, 17, 8, 11, 15, 2, 8, 4, 0, 4, 12, 4, 3, 21, 5, 3, 12, 15, 7, 0, 4, 13, 2, 2, 4, 10, 17, 6, 24, 6, 2, 18, 8, 2, 12, 5, 5, 4, 8, 0, 13, 6, 9, 27, 19, 7, 3, 14, 1, 10, 6, 6, 9, 11, 16, 2, 15, 12, 10, 2, 15, 16, 12, 13, 8, 9, 0, 11, 3, 11, 3, 5, 20, 5, 1, 6, 0, 12, 12, 8, 14, 3, 10, 1, 2, 2, 1, 0, 4, 12, 16, 16, 3, 15, 12, 6, 0, 0, 1, 5, 20, 6, 24, 12, 1, 8, 13, 3, 14, 17, 24, 11, 11, 13, 14, 7, 4, 2, 21, 6, 16, 2, 12, 0, 1, 12, 0, 13, 3, 3, 1, 16, 13, 5, 12, 12, 8, 24, 14, 12, 11, 14, 1, 15, 1, 18, 11, 6, 12, 10, 7, 6, 12, 0, 19, 3, 5, 18, 8, 8, 12, 8, 8, 10, 10, 15, 6, 0, 6, 15, 20, 3, 11, 8, 10, 2, 5, 5, 14, 22, 11, 10, 20, 5, 9, 14, 16, 21, 18, 6, 9, 13, 0, 2, 8, 13, 11, 8, 8, 4, 4, 11, 15, 5, 5, 13, 11, 8, 5, 20, 3, 6, 15, 5, 4, 1, 13, 7, 7, 3, 11, 10, 0, 10, 17, 10, 15, 1, 16, 6, 13, 12, 4, 4, 11, 8, 0, 16, 10, 6, 3, 5, 11, 22, 9, 3, 15, 13, 13, 13, 6, 13, 8, 0, 8, 4, 15, 2, 9, 3, 1, 2, 13, 12, 6, 7, 13, 13, 0, 11, 3, 13, 1, 12, 8, 2, 8, 11, 12, 19, 7, 6, 0, 11, 8, 11, 5, 13, 11, 9, 10, 6, 2, 15, 11, 10, 14, 6, 6, 6, 5, 3, 8, 14, 8, 3, 1, 4, 4, 13, 21, 2, 17, 6, 1, 12, 5, 13, 20, 8, 13, 21, 13, 11, 8, 13, 13, 10, 4, 5, 12, 20, 13, 18, 3, 7, 8, 8, 10, 6, 6, 5, 1, 0, 9, 13, 2, 2, 11, 19, 8, 12, 8, 8, 6, 13, 8, 13, 5, 6, 14, 11, 11, 15, 8, 11, 9, 6, 10, 12, 19, 8, 10, 13, 12, 8, 8, 5, 0, 19, 10, 21, 6, 0, 11, 2, 3, 11, 4, 12, 4, 12, 3, 11, 2, 14, 8, 5, 8, 2, 0, 8, 11, 15, 10, 4, 8, 18, 15, 13, 0, 10, 3, 4, 11, 2, 4, 13, 8, 13, 5, 0, 12, 5, 1, 6, 8, 1, 10, 0, 3, 12, 0, 13, 14, 0, 14, 15, 14, 2, 13, 15, 21, 22, 21, 8, 8, 13, 12, 12, 11, 0, 2, 22, 10, 3, 4, 12, 3, 11, 11, 15, 6, 6, 3, 17, 0, 1, 14, 12, 9, 12, 1, 0, 10, 6, 11, 8, 0, 17, 16, 4, 5, 14, 0, 12, 3, 6, 8, 3, 6, 10, 12, 6, 20, 12, 15, 3, 5, 10, 1, 12, 12, 6, 13, 8, 8, 6, 13, 13, 22, 11, 11, 11, 8, 2, 15, 4, 8, 4, 11, 4, 13, 2, 20, 7, 6, 3, 6, 0, 12, 20, 8, 1, 4, 4, 6, 6, 13, 6, 8, 16, 8, 13, 9, 12, 11, 9, 8, 11, 5, 5, 3, 13, 5, 8, 22, 12, 13, 6, 1, 3, 11, 19, 13, 9, 10, 2, 6, 11, 6, 4, 3, 27, 20, 13, 10, 11, 0, 13, 10, 3, 3, 11, 8, 6, 6, 5, 0, 5, 13, 2, 8, 10, 8, 6, 2, 4, 3, 6, 6, 3, 16, 17, 17, 1, 6, 4, 10, 20, 4, 21, 11, 14, 1, 16, 2, 8, 4, 13, 8, 10, 6, 12, 7, 5, 12, 2, 21, 16, 2, 0, 5, 4, 14, 13, 8, 5, 13, 15, 15, 8, 12, 5, 8, 12, 6, 12, 13, 12, 8, 11, 27, 12, 11, 2, 7, 6, 1, 2, 11, 6, 21, 11, 12, 9, 13, 8, 5, 10, 15, 3, 13, 6, 1, 10, 6, 24, 1, 12, 8, 0, 4, 6, 6, 24, 13, 8, 4, 16, 12, 6, 4, 24, 4, 8, 11, 21, 1, 9, 6, 11, 1, 20, 9, 5, 14, 12, 10, 20, 1, 5, 8, 0, 5, 14, 4, 12, 14, 13, 1, 11, 17, 12, 12, 22, 11, 10, 15, 8, 4, 13, 20, 6, 8, 11, 13, 8, 13, 6, 11, 1, 3, 14, 13, 13, 6, 13, 5, 11, 20, 2, 12, 4, 22, 9, 8, 11, 22, 10, 19, 11, 12, 4, 16, 8, 24, 19, 7, 3, 13, 12, 9, 1, 12, 13, 6, 8, 3, 9, 24, 10, 6, 3, 1, 6, 6, 2, 6, 5, 13, 1, 1, 8, 12, 11, 9, 6, 7, 1, 11, 6, 12, 6, 11, 10, 16, 14, 9, 5, 13, 0, 8, 5, 2, 13, 14, 18, 18, 13, 9, 10, 0, 2, 2, 2, 4, 1, 5, 5, 10, 7, 13, 13, 13, 13, 1, 12, 21, 3, 12, 3, 7, 21, 12, 8, 11, 15, 2, 12, 16, 2, 11, 11, 5, 12, 6, 9, 3, 4, 8, 9, 13, 13, 4, 5, 11, 24, 8, 7, 15, 3, 13, 12, 16, 8, 1, 19, 10, 6, 17, 8, 10, 8, 9, 10, 5, 6, 14, 18, 11, 0, 13, 13, 10, 9, 24, 12, 0, 3, 10, 6, 3, 0, 8, 10, 6, 10, 6, 5, 11, 12, 8, 8, 4, 8, 10, 0, 12, 2, 6, 10, 6, 3, 10, 11, 12, 12, 14, 10, 1, 12, 10, 6, 10, 3, 10, 12, 0, 6, 2, 12, 5, 13, 11, 7, 10, 12, 11, 13, 27, 4, 12, 20, 5, 12, 6, 0, 1, 4, 12, 4, 15, 10, 13, 19, 3, 3, 0, 6, 7, 12, 21, 10, 3, 8, 0, 15, 3, 10, 7, 8, 2, 11, 8, 20, 0, 24, 2, 7, 13, 1, 11, 5, 2, 5, 13, 1, 10, 3, 13, 1, 5, 6, 9, 10, 14, 3, 6, 6, 6, 5, 11, 16, 15, 12, 1, 15, 3, 6, 4, 6, 6, 12, 2, 4, 15, 5, 12, 5, 13, 8, 8, 15, 3, 10, 6, 8, 2, 20, 1, 1, 1, 22, 5, 11, 6, 12, 0, 20, 20, 17, 6, 8, 4, 20, 11, 13, 10, 15, 20, 3, 16, 13, 15, 15, 14, 5, 15, 15, 14, 12, 6, 14, 4, 13, 1, 3, 10, 1, 5, 6, 2, 20, 18, 0, 10, 24, 2, 8, 8, 8, 15, 8, 16, 1, 6, 5, 6, 2, 6, 8, 6, 17, 20, 13, 9, 16, 1, 6, 15, 15, 6, 10, 19, 12, 6, 8, 6, 2, 0, 1, 12, 4, 13, 1, 15, 6, 19, 0, 8, 8, 5, 10, 12, 12, 20, 16, 8, 15, 3, 8, 20, 3, 11, 11, 8, 2, 15, 13, 0, 12, 8, 15, 13, 1, 7, 12, 13, 3, 10, 3, 13, 14, 20, 2, 10, 15, 3, 0, 9, 11, 16, 10, 15, 4, 4, 11, 7, 3, 4, 13, 12, 13, 11, 11, 1, 6, 16, 14, 10, 3, 13, 13, 13, 4, 3, 1, 3, 8, 20, 6, 22, 8, 8, 22, 24, 13, 16, 10, 5, 11, 13, 8, 6, 19, 14, 13, 8, 8, 12, 20, 1, 6, 8, 6, 2, 3, 5, 8, 5, 2, 11, 24, 8, 5, 10, 21, 5, 1, 8, 10, 2, 15, 11, 17, 15, 11, 19, 15, 16, 6, 13, 5, 6, 8, 2, 3, 8, 10, 6, 15, 15, 8, 0, 1, 3, 15, 0, 6, 6, 6, 4, 12, 13, 1, 8, 14, 11, 8, 3, 13, 4, 4, 14, 1, 6, 1, 21, 3, 3, 6, 15, 2, 22, 15, 8, 15, 13, 6, 3, 1, 6, 12, 6, 11, 8, 5, 16, 14, 14, 13, 11, 2, 0, 8, 9, 16, 1, 6, 19, 8, 13, 19, 21, 14, 10, 8, 12, 21, 13, 12, 3, 21, 11, 10, 18, 8, 20, 0, 1, 1, 12, 10, 6, 8, 11, 6, 21, 18, 6, 2, 6, 13, 5, 6, 8, 8, 5, 19, 13, 12, 2, 9, 12, 12, 12, 15, 8, 14, 21, 6, 5, 2, 12, 10, 8, 2, 8, 3, 13, 13, 2, 3, 3, 16, 13, 13, 21, 8, 5, 5, 19, 2, 0, 13, 0, 7, 4, 12, 7, 12, 16, 20, 14, 8, 15, 6, 1, 1, 22, 13, 13, 2, 20, 10, 15, 7, 7, 12, 2, 15, 16, 1, 11, 12, 13, 6, 24, 1, 8, 1, 4, 7, 10, 2, 1, 5, 5, 12, 4, 0, 11, 15, 9, 2, 13, 15, 4, 15, 11, 5, 12, 11, 13, 8, 6, 4, 13, 0, 11, 12, 13, 13, 5, 15, 13, 3, 20, 2, 11, 1, 12, 14, 13, 17, 3, 4, 14, 13, 3, 9, 17, 13, 6, 15, 6, 7, 13, 3, 5, 12, 10, 10, 17, 4, 15, 7, 3, 12, 13, 11, 11, 1, 18, 4, 13, 5, 1, 5, 12, 13, 11, 13, 8, 10, 21, 5, 6, 14, 10, 5, 9, 10, 13, 5, 6, 2, 3, 12, 12, 1, 14, 3, 11, 15, 9, 15, 12, 6, 8, 13, 8, 9, 20, 2, 8, 2, 6, 18, 12, 0, 12, 21, 3, 6, 11, 18, 3, 7, 13, 8, 14, 15, 9, 4, 6, 11, 1, 4, 8, 8, 8, 12, 12, 4, 11, 10, 8, 11, 5, 15, 1, 20, 10, 6, 14, 16, 6, 11, 21, 0, 1, 12, 6, 9, 19, 1, 3, 15, 2, 3, 0, 15, 13, 16, 19, 7, 12, 0, 3, 1, 24, 8, 3, 12, 12, 5, 11, 13, 8, 12, 4, 5, 2, 12, 14, 7, 4, 8, 9, 15, 8, 6, 8, 12, 9, 6, 5, 11, 5, 16, 8, 10, 11, 8, 12, 6, 16, 13, 8, 3, 13, 8, 0, 1, 14, 14, 10, 6, 11, 6, 18, 7, 15, 1, 2, 1, 4, 10, 11, 6, 12, 9, 6, 17, 15, 9, 0, 14, 2, 14, 13, 20, 2, 1, 16, 16, 12, 9, 2, 3, 20, 13, 2, 12, 12, 12, 6, 2, 14, 6, 13, 12, 9, 13, 2, 11, 8, 8, 10, 10, 8, 15, 6, 14, 9, 6, 9, 13, 2, 11, 1, 8, 5, 20, 12, 4, 8, 4, 8, 8, 19, 15, 1, 13, 13, 8, 8, 11, 16, 12, 19, 13, 1, 0, 5, 8, 3, 15, 12, 13, 13, 16, 8, 0, 13, 14, 12, 0, 13, 1, 5, 19, 5, 17, 5, 2, 5, 21, 12, 6, 13, 2, 3, 21, 4, 6, 14, 3, 9, 6, 12, 22, 13, 15, 1, 11, 11, 17, 0, 14, 12, 21, 13, 15, 12, 9, 6, 2, 5, 12, 1, 5, 3, 6, 2, 14, 14, 8, 3, 4, 8, 13, 14, 22, 20, 8, 3, 12, 19, 2, 9, 8, 14, 11, 5, 20, 6, 11, 6, 14, 9, 6, 11, 5, 13, 15, 11, 8, 10, 12, 13, 8, 8, 11, 10, 11, 0, 12, 8, 6, 14, 11, 8, 5, 1, 20, 12, 15, 13, 5, 4, 6, 6, 8, 20, 3, 10, 11, 2, 16, 21, 8, 17, 8, 13, 11, 14, 8, 8, 0, 2, 8, 12, 5, 1, 4, 6, 5, 0, 11, 2, 10, 6, 8, 8, 6, 12, 8, 4, 17, 6, 8, 13, 13, 10, 24, 11, 8, 15, 14, 13, 13, 11, 12, 10, 13, 16, 16, 8, 8, 14, 21, 7, 16, 3, 13, 8, 13, 8, 2, 8, 6, 19, 19, 6, 3, 9, 9, 6, 12, 18, 12, 15, 4, 13, 3, 1, 12, 5, 20, 13, 6, 12, 8, 16, 17, 12, 6, 6, 15, 0, 2, 11, 21, 4, 14, 11, 8, 15, 1, 5, 11, 9, 13, 4, 8, 5, 6, 6, 8, 12, 13, 4, 0, 1, 8, 12, 12, 20, 12, 9, 6, 13, 0, 15, 3, 8, 17, 7, 8, 9, 12, 10, 1, 7, 2, 6, 9, 11, 3, 4, 2, 0, 3, 11, 12, 2, 16, 6, 13, 4, 2, 5, 1, 3, 3, 22, 6, 4, 2, 10, 5, 12, 1, 11, 2, 0, 10, 19, 4, 1, 9, 6, 20, 7, 14, 10, 17, 6, 21, 6, 6, 2, 8, 21, 5, 0, 1, 15, 11, 3, 20, 8, 8, 3, 3, 3, 8, 14, 14, 11, 3, 14, 13, 1, 3, 13, 3, 9, 8, 12, 5, 4, 5, 13, 16, 8, 5, 7, 8, 4, 13, 4, 8, 3, 8, 24, 6, 20, 1, 4, 3, 1, 6, 3, 6, 2, 9, 18, 6, 27, 13, 1, 0, 12, 8, 13, 16, 0, 5, 11, 6, 13, 6, 7, 6, 6, 2, 11, 11, 24, 12, 5, 5, 1, 6, 1, 9, 4, 10, 4, 13, 6, 3, 1, 12, 5, 1, 6, 10, 12, 12, 8, 12, 4, 0, 7, 8, 24, 17, 10, 2, 0, 15, 5, 4, 15, 11, 1, 12, 1, 14, 15, 6, 21, 1, 14, 13, 11, 3, 11, 6, 1, 13, 14, 22, 20, 0, 5, 13, 7, 15, 12, 11, 22, 5, 2, 8, 21, 0, 13, 15, 13, 13, 10, 13, 21, 21, 10, 0, 16, 1, 6, 5, 11, 11, 2, 6, 13, 8, 7, 10, 3, 13, 6, 11, 15, 13, 13, 2, 4, 8, 22, 6, 24, 13, 24, 6, 12, 12, 13, 9, 13, 13, 11, 1, 14, 1, 4, 12, 12, 2, 14, 10, 1, 5, 2, 20, 13, 1, 11, 11, 4, 9, 3, 10, 20, 22, 8, 9, 22, 2, 0, 0, 21, 3, 15, 1, 12, 24, 5, 3, 6, 15, 11, 4, 15, 12, 7, 8, 10, 10, 6, 11, 8, 5, 15, 20, 4, 8, 1, 10, 2, 13, 8, 11, 10, 19, 12, 13, 17, 12, 8, 15, 15, 10, 24, 3, 0, 12, 3, 24, 7, 6, 16, 19, 12, 8, 12, 6, 12, 20, 8, 16, 13, 12, 17, 18, 6, 6, 10, 2, 3, 12, 9, 17, 2, 10, 8, 11, 1, 5, 10, 6, 9, 20, 24, 4, 6, 12, 8, 8, 3, 5, 8, 8, 13, 15, 5, 13, 4, 4, 8, 2, 6, 0, 3, 6, 6, 2, 1, 1, 13, 6, 3, 3, 10, 1, 12, 10, 6, 10, 9, 1, 14, 18, 10, 16, 16, 8, 6, 10, 10, 2, 14, 4, 8, 11, 8, 12, 6, 17, 21, 5, 2, 6, 11, 5, 11, 8, 6, 13, 8, 11, 9, 7, 0, 8, 9, 19, 3, 8, 6, 11, 0, 3, 13, 20, 12, 9, 8, 27, 2, 24, 12, 8, 8, 0, 10, 15, 14, 6, 3, 9, 12, 1, 1, 11, 15, 10, 10, 15, 11, 13, 11, 6, 3, 13, 12, 5, 19, 19, 0, 3, 11, 5, 5, 8, 0, 20, 15, 13, 3, 5, 10, 4, 17, 3, 11, 8, 14, 13, 6, 20, 12, 1, 9, 27, 6, 10, 8, 4, 12, 13, 16, 13, 22, 2, 6, 0, 19, 0, 10, 4, 3, 2, 1, 14, 12, 14, 13, 8, 12, 13, 5, 2, 13, 0, 4, 5, 12, 13, 12, 10, 12, 13, 11, 13, 11, 11, 8, 1, 6, 11, 20, 3, 6, 6, 14, 6, 8, 22, 16, 4, 14, 19, 8, 8, 16, 15, 7, 12, 0, 11, 6, 1, 12, 4, 13, 10, 8, 5, 4, 15, 14, 13, 4, 12, 13, 6, 8, 3, 8, 7, 21, 14, 12, 8, 10, 1, 11, 10, 11, 1, 13, 4, 1, 5, 2, 8, 13, 24, 17, 12, 12, 13, 8, 15, 6, 2, 11, 13, 4, 10, 20, 3, 21, 3, 8, 11, 12, 2, 13, 13, 3, 8, 20, 12, 12, 13, 5, 2, 12, 0, 16, 13, 16, 12, 11, 22, 3, 5, 2, 3, 4, 12, 3, 0...
#> $ treatment  <dbl> 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 0, 1, 0, 1, 1, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 1, 1, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 1, 0, 1, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 1, 1, 1, 1, 0, 1, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 0, 1, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 1, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 1, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 0, 0, 1, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 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0, 0, 0...

rm(df_star_panel) # comment this line out if you want to keep data frame df_star_panel

##########
########## IPEDS
##########

# Load ipeds dataset from course website url
load(file = url('https://github.com/anyone-can-cook/educ152/raw/main/data/ipeds/output_data/panel_data.RData'))

# Create ipeds data frame with fewer variables/observations
df_ipeds_pop <- panel_data %>%
  # keep IPEDS tuition data from fall of which year (e.g., fall 2016 is price for programs in 2016-17 academic year)
  filter(year == 2016) %>%
  # which universities to keep:
    # 2015 carnegie classification: keep research universities (15,16,17) and master's universities (18,19,20)
  filter(c15basic %in% c(15,16,17,18,19,20)) %>%
  # which variables to keep
  select(instnm,unitid,opeid6,opeid,control,c15basic,stabbr,city,zip,locale,obereg, # basic institutional characteristics
         tuition6,fee6,tuition7,fee7, # avg tuition and fees for full-time grad, in-state and out-of-state
         isprof3,ispfee3,osprof3,ospfee3, # avg tuition and fees for MD, in-state and out-of-state
         isprof9,ispfee9,osprof9,ospfee9, # avg tuition and fees for Law, in-state and out-of-state
         chg4ay3,chg7ay3,chg8ay3) %>% # [undergraduate] books+supplies; off-campus (not with family) room and board; off-campus (not with family) other expenses
  # rename variables; syntax <new_name> = <old_name>
  rename(region = obereg, # revion
         tuit_grad_res = tuition6, fee_grad_res = fee6, tuit_grad_nres = tuition7, fee_grad_nres = fee7, # grad
         tuit_md_res = isprof3, fee_md_res = ispfee3, tuit_md_nres = osprof3, fee_md_nres = ospfee3, # md
         tuit_law_res = isprof9, fee_law_res = ispfee9, tuit_law_nres = osprof9, fee_law_nres = ospfee9, # law
         books_supplies = chg4ay3, roomboard_off = chg7ay3, oth_expense_off = chg8ay3) %>% # [undergraduate] expenses
  # create measures of tuition+fees
  mutate(
    tuitfee_grad_res = tuit_grad_res + fee_grad_res, # graduate, state resident
    tuitfee_grad_nres = tuit_grad_nres + fee_grad_nres, # graduate, non-resident
    tuitfee_md_res = tuit_md_res + fee_md_res, # MD, state resident
    tuitfee_md_nres = tuit_md_nres + fee_md_nres, # MD, non-resident
    tuitfee_law_res = tuit_law_res + fee_law_res, # Law, state resident
    tuitfee_law_nres = tuit_law_nres + fee_law_nres) %>% # Law, non-resident  
  # create measures of cost-of-attendance (COA) as the sum of tuition, fees, book, living expenses
  mutate(
    coa_grad_res = tuit_grad_res + fee_grad_res + books_supplies + roomboard_off + oth_expense_off, # graduate, state resident
    coa_grad_nres = tuit_grad_nres + fee_grad_nres + books_supplies + roomboard_off + oth_expense_off, # graduate, non-resident
    coa_md_res = tuit_md_res + fee_md_res + books_supplies + roomboard_off + oth_expense_off, # MD, state resident
    coa_md_nres = tuit_md_nres + fee_md_nres + books_supplies + roomboard_off + oth_expense_off, # MD, non-resident
    coa_law_res = tuit_law_res + fee_law_res + books_supplies + roomboard_off + oth_expense_off, # Law, state resident
    coa_law_nres = tuit_law_nres + fee_law_nres + books_supplies + roomboard_off + oth_expense_off) # %>% # Law, non-resident    
  # [COMMENTED THIS OUT] keep only observations that have non-missing values for the variable coa_grad_res
    # this does cause us to lose some interesting universities, but doing this will eliminate some needless complications with respect to learning core concepts about statistical inference
  #filter(!is.na(coa_grad_res))

# Add variable labels to the tuit+fees variables and coa variables
  # tuition + fees variables
    var_label(df_ipeds_pop[['tuitfee_grad_res']]) <- 'graduate, full-time, resident; avg tuition + required fees'
    var_label(df_ipeds_pop[['tuitfee_grad_nres']]) <- 'graduate, full-time, non-resident; avg tuition + required fees'
    var_label(df_ipeds_pop[['tuitfee_md_res']]) <- 'MD, full-time, state resident; avg tuition + required fees'
    var_label(df_ipeds_pop[['tuitfee_md_nres']]) <- 'MD, full-time, non-resident; avg tuition + required fees'
    var_label(df_ipeds_pop[['tuitfee_law_res']]) <- 'Law, full-time, state resident; avg tuition + required fees'
    var_label(df_ipeds_pop[['tuitfee_law_nres']]) <- 'Law, full-time, non-resident; avg tuition + required fees'
    
  # COA variables
    var_label(df_ipeds_pop[['coa_grad_res']]) <- 'graduate, full-time, state resident COA; == tuition + fees + (ug) books/supplies + (ug) off-campus room and board + (ug) off-campus other expenses'
    var_label(df_ipeds_pop[['coa_grad_nres']]) <- 'graduate, full-time, non-resident COA; == tuition + fees + (ug) books/supplies + (ug) off-campus room and board + (ug) off-campus other expenses'
    var_label(df_ipeds_pop[['coa_md_res']]) <- 'MD, full-time, state resident COA; == tuition + fees + (ug) books/supplies + (ug) off-campus room and board + (ug) off-campus other expenses'
    var_label(df_ipeds_pop[['coa_md_nres']]) <- 'MD, full-time, non-resident COA; == tuition + fees + (ug) books/supplies + (ug) off-campus room and board + (ug) off-campus other expenses'
    var_label(df_ipeds_pop[['coa_law_res']]) <- 'Law, full-time, state resident COA; == tuition + fees + (ug) books/supplies + (ug) off-campus room and board + (ug) off-campus other expenses'
    var_label(df_ipeds_pop[['coa_law_nres']]) <- 'Law, full-time, non-resident COA; == tuition + fees + (ug) books/supplies + (ug) off-campus room and board + (ug) off-campus other expenses'

  #df_ipeds_pop %>% glimpse()

rm(panel_data) # comment this line out if you want to keep data frame panel_data

##########
########## SCORECARD DATA ON DEBT AND EARNINGS
##########

# load scorecard dataset from course website url

load(file = url('https://github.com/anyone-can-cook/educ152/raw/main/data/college_scorecard/output_data/df_debt_earn_panel_labelled.RData'))

df_scorecard <- df_debt_earn_panel_labelled %>%
    # keep most recent year of data
    filter(field_ay == '2017-18') %>%
    # keep master's degrees
    filter(credlev == 5) %>%
    # carnegie categories to keep: 15 = Doctoral Universities: Very High Research Activity; 16 = Doctoral Universities: High Research Activity
      # note: variable ccbasic from scorecard data is 2015 carnegie classification
    filter(ccbasic %in% c(15,16,17,18,19,20)) %>%
    # drop "parent plus" loan variables and other vars we won't use in this lecture
    select(-contains('_pp'),-contains('_any'),-field_ay,-st_fips,-zip,-longitude,-latitude,-locale2,-highdeg,-accredagency,-relaffil,-hbcu,-annhi,-tribal,-aanapii,-hsi,-nanti,-main,-numbranch,-control) %>%
    # create variable for broad field of degree (e.g., education, business)
    mutate(cipdig2 = str_sub(string = cipcode, start = 1, end = 2)) %>%
    # shorten variable cipdesc to make it more suitable for printing
    mutate(cipdesc = str_sub(string = cipdesc, start = 1, end = 50)) %>%
    # re-order variables
    relocate(opeid6,unitid,instnm,ccbasic,stabbr,city,cipdig2)

  #df_scorecard %>% glimpse()

# For debt and earnings variables, convert from character to numeric variables (which replaces "PrivacySuppressed" values with NA values)
df_scorecard <- df_scorecard %>%
  mutate(
    debt_all_stgp_eval_n = as.numeric(debt_all_stgp_eval_n),
    debt_all_stgp_eval_mean = as.numeric(debt_all_stgp_eval_mean),
    debt_all_stgp_eval_mdn = as.numeric(debt_all_stgp_eval_mdn),
    debt_all_stgp_eval_mdn10yrpay = as.numeric(debt_all_stgp_eval_mdn10yrpay),
    earn_count_wne_hi_1yr = as.numeric(earn_count_wne_hi_1yr),
    earn_mdn_hi_1yr = as.numeric(earn_mdn_hi_1yr),
    earn_count_wne_hi_2yr = as.numeric(earn_count_wne_hi_2yr),
    earn_mdn_hi_2yr = as.numeric(earn_mdn_hi_2yr),
    ipedscount1 = as.numeric(ipedscount1),
    ipedscount2 = as.numeric(ipedscount2)
  ) 

# add variable label to variable cipdig2
  attr(df_scorecard[['cipdig2']], which = 'label') <- 'broad degree field code = 2-digit classification of instructional programs (CIP) degree code'

# add variable label attribute back to debt and earnings variables
  for(v in c('debt_all_stgp_eval_n','debt_all_stgp_eval_mean','debt_all_stgp_eval_mdn','debt_all_stgp_eval_mdn10yrpay','earn_count_wne_hi_1yr','earn_mdn_hi_1yr','earn_count_wne_hi_2yr','earn_mdn_hi_2yr','cipdesc','ipedscount1','ipedscount2')) {
    
    #writeLines(str_c('object v=', v))
    #writeLines(attr(df_debt_earn_panel_labelled[[v]], which = 'label'))
    
    attr(df_scorecard[[v]], which = 'label') <- attr(df_debt_earn_panel_labelled[[v]], which = 'label')
  }

#df_scorecard %>% glimpse()

rm(df_debt_earn_panel_labelled) # comment this line out if you want to keep data frame df_debt_earn_panel_labelled
#earn_mdn_hi_2yr

##########
########## LEFT JOIN SCORECARD AND IPEDS DATA
##########

# investigate data structure

  # df_scorecard; these vars uniquely identify observations
    df_scorecard %>% group_by(opeid6,cipcode) %>% summarise(n_per_key=n()) %>% ungroup() %>% count(n_per_key)
#> # A tibble: 1 x 2
#>   n_per_key     n
#>       <int> <int>
#> 1         1 28057

  # df_ipeds_pop: these vars uniquely identify observations
    df_ipeds_pop %>% group_by(unitid) %>% summarise(n_per_key=n()) %>% ungroup() %>% count(n_per_key)
#> # A tibble: 1 x 2
#>   n_per_key     n
#>       <int> <int>
#> 1         1  1091
    
# join
  # start with df_ipeds_pop, keep selected variables; then do do a right_join (i.e., keep obs in y table)
    
  df_score_ipeds <- df_ipeds_pop %>% 
    select(-instnm,-opeid6,-opeid,-c15basic,-region,-locale,-city,-stabbr,-zip) %>% mutate(one=1) %>%
    right_join(y=df_scorecard, by = 'unitid')
     #df_score_ipeds %>% glimpse()
  
  # 52 unitids from scorecard that don't have a match in ipeds
    # could be due to differences in year; decision: drop thiese
    df_score_ipeds %>% filter(is.na(one)) %>% count(unitid) # 52 unitids from scorecard data with missing IPEDS data
#> # A tibble: 52 x 2
#>    unitid     n
#>     <dbl> <int>
#>  1 108232    21
#>  2 127556     5
#>  3 140872     7
#>  4 140988     3
#>  5 150941     6
#>  6 151290     4
#>  7 152381     3
#>  8 152567     6
#>  9 153001     8
#> 10 153126     3
#> # ... with 42 more rows
    df_score_ipeds %>% filter(is.na(one)) %>% count(instnm) # 52 unitids from scorecard data with missing IPEDS data
#> # A tibble: 52 x 2
#>    instnm                        n
#>    <chr>                     <int>
#>  1 Academy of Art University    21
#>  2 Augustana University          4
#>  3 Baker College                12
#>  4 Buena Vista University        8
#>  5 Calvin University             7
#>  6 Cedar Crest College           9
#>  7 Cedarville University         4
#>  8 Clarke University             3
#>  9 Coker University              3
#> 10 Colorado Mesa University      5
#> # ... with 42 more rows
  

  df_score_ipeds <- df_score_ipeds %>% 
    # drop unitids from scorecard that don't merge to ipeds data (on tuition)
    filter(!is.na(one)) %>% 
    # drop observations that don't have mean debt data
    filter(!is.na(debt_all_stgp_eval_mean)) %>% 
    # drop for-profits
    filter(control !=3) %>%
    # drop tuition/coa vars for law and md
    select(-one,-contains('law'),-contains('md_')) %>% 
    # create measure of urbanization from locale
    mutate(
      urban = case_when(
        locale %in% c(11) ~ 1, # city
        locale %in% c(12,13) ~ 2, # city
        locale %in% c(21,22,23) ~ 3, # suburb
        locale %in% c(31,32,33,41,42,43) ~ 4 # town/rural
        )
      ) %>% 
    # create value labels for level of urbanization
    set_value_labels(
      urban = c(
        'large city (250k+)' = 1,
        'med/small city' = 2,
        'suburb' = 3,
        'town/rural' = 4
        )
      ) %>%
    # change variable order
    relocate(opeid6,unitid,instnm,control,ccbasic,stabbr,region,city,locale,urban,cipdig2,cipcode,cipdesc,credlev,creddesc,
      contains('ipeds'),starts_with('debt'),starts_with('earn'))

# create variable label 
var_label(df_score_ipeds[['urban']]) <- 'four-category variable of level of urbanization (large city, small/med city, suburb, town/rural) created from locale'
# %>% count(urban, locale) # crosscheck

      
  df_score_ipeds %>% glimpse()
#> Rows: 9,444
#> Columns: 36
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"001326...
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110608, 110608, 110608, 110608, 110608, 110608, 110608, 110608, 110608, 110617, 110617, 110617, 110617, 110617, 110617, 110617, 110617, 110617, 110617, 110617, 110617, 110617, 110617, 110617, 110617, 110617, 110617, 110617, 110617, 110635, 110635, 110635, 110635, 110644, 110644, 110644, 110644, 110644, 110644, 110644, 110644, 110644, 110644, 110653, 110653, 110653, 110653, 110653, 110653, 110653, 110653, 110653, 110653, 110653, 110653, 110653, 110662, 110662, 110662, 110662, 110662, 110662, 110662, 110662, 110662, 110662, 110662, 110662, 110662, 110662, 110662, 110662, 110662, 110662, 110662, 110671, 110671, 110671, 110671, 110680, 110680, 110680, 110680, 110680, 110680, 110680, 110680, 110680, 110680, 110680, 110680, 110680, 110680, 110705, 110714, 110714, 111948, 111948, 111948, 111948, 111948, 111948, 111948, 111948, 112075, 112075, 112075, 112075, 112075, 112075, 112075, 112251, 112251, 112251, 112251, 112251, 112251, 112251, 112251, 112251, 113698, 113698, 113698, 113698, 113698, 113698, 114549, 114813, 114813, 114813, 114813, 114813, 114813, 114813, 114813, 114813, 115083, 115083, 115083, 115083, 115083, 115083, 115083, 115083, 115083, 115728, 115728, 115728, 115728, 115755, 115755, 115755, 115755, 115755, 115755, 115755, 115755, 116712, 116712, 116712, 117140, 117140, 117140, 117140, 117140, 117140, 117140, 117140, 117627, 117627, 117627, 117751, 117751, 117946, 117946, 117946, 117946, 117946, 117946, 117946, 117946, 117946, 117946, 117946, 117946, 117946, 117946, 117946, 117946, 118888, 118888, 118888, 118888, 118888, 118888, 118888, 119173, 119173, 119173, 119173, 119173, 119173, 119173, 119173, 119605, 119605, 119605, 119605, 119605, 119605, 119605, 119605, 119605, 119605, 119605, 119605, 119605, 119605, 119605, 119605, 119605, 119605, 119605, 119605, 119605, 119605, 119605, 119605, 119605, 119605, 119605, 119605, 119605, 119605, 119605, 119605, 119605, 119605, 120184, 120184, 120184, 120184, 120184, 120537, 120537, 120537, 120537, 120883, 120883, 120883, 120883, 120883, 120883, 120883, 121150, 121150, 121150, 121150, 121150, 121150, 121150, 121150, 121150, 121309, 121309, 121309, 121309, 121309, 121691, 121691, 121691, 121691, 121691, 121691, 121691, 121691, 122409, 122409, 122409, 122409, 122409, 122409, 122409, 122409, 122409, 122409, 122409, 122409, 122409, 122409, 122409, 122409, 122409, 122409, 122409, 122409, 122409, 122409, 122409, 122409, 122436, 122436, 122436, 122436, 122436, 122436, 122436, 122436, 122436, 122436, 122436, 122436, 122436, 122436, 122436, 122436, 122436, 122436, 122597, 122597, 122597, 122597, 122597, 122597, 122597, 122597, 122597, 122597, 122597, 122597, 122597, 122597, 122597, 122597, 122597, 122597, 122597, 122597, 122612, 122612, 122612, 122612, 122612, 122612, 122612, 122612, 122612, 122612, 122612, 122612, 122612, 122612, 122612, 122612, 122612, 122612, 122612, 122612, 122612, 122612, 122612, 122612, 122612, 122755, 122755, 122755, 122755, 122755, 122755, 122755, 122755, 122755, 122755, 122755, 122755, 122931, 122931, 122931, 122931, 122931, 122931, 122931, 123457, 123554, 123554, 123554, 123554, 123554, 123554, 123554, 123554, 123554, 123572, 123572, 123572, 123572, 123572, 123572, 123651, 123651, 123961, 123961, 123961, 123961, 123961, 123961, 123961, 123961, 123961, 123961, 123961, 123961, 123961, 123961, 123961, 123961, 123961, 123961, 123961, 123961, 123961, 123961, 123961, 123961, 123961, 123961, 123961, 123961, 123961, 123961, 123961, 123961, 123961, 123961, 123961, 123961, 123961, 123961, 123961, 123961, 123961, 123961, 123961, 123961, 123961, 123961, 123961, 123961, 123961, 123961, 123961, 123961, 125897, 125897, 126182, 126182, 126182, 126182, 126182, 126562, 126562, 126562, 126562, 126562, 126562, 126562, 126562, 126562, 126562, 126562, 126562, 126562, 126562, 126562, 126562, 126562, 126562, 126562, 126562, 126562, 126562, 126562, 126562, 126562, 126562, 126562, 126562, 126562, 126562, 126562, 126562, 126580, 126580, 126580, 126580, 126580, 126580, 126580, 126580, 126580, 126580, 126580, 126614, 126614, 126614, 126614, 126614, 126614, 126614, 126614, 126614, 126614, 126614, 126614, 126614, 126614, 126614, 126614, 126669, 126669, 126669, 126669, 126775, 126775, 126775, 126775, 126775, 126775, 126818, 126818, 126818, 126818, 126818, 126818, 126818, 126818, 126818, 126818, 126818, 126818, 126818, 126818, 126818, 126818, 126818, 126818, 126818, 126818, 126818, 126818, 126818, 126818, 126818, 126818, 126818, 127060, 127060, 127060, 127060, 127060, 127060, 127060, 127060, 127060, 127060, 127060, 127060, 127060, 127060, 127060, 127060, 127060, 127060, 127060, 127060, 127060, 127060, 127060, 127060, 127060, 127060, 127060, 127060, 127060, 127060, 127060, 127060, 127060, 127565, 127565, 127565, 127653, 127653, 127653, 127741, 127741, 127741, 127741, 127741, 127741, 127741, 127741, 127741, 127741, 127741, 127741, 127741, 127741, 127918, 127918, 127918, 127918, 127918, 127918, 127918, 127918, 127918, 127918, 127918, 127918, 128106, 128106, 128106, 128391, 12839...
#> $ instnm                        <chr> "Alabama A & M University", "Alabama A & M University", "Alabama A & M University", "Alabama A & M University", "Alabama A & M University", "Alabama A & M University", "Alabama A & M University", "Alabama A & M University", "Alabama A & M University", "Alabama A & M University", "Alabama A & M University", "Alabama A & M University", "University of Alabama at Birmingham", "University of Alabama at Birmingham", "University of Alabama at Birmingham", "University of Alabama at Birmingham", "University of Alabama at Birmingham", "University of Alabama at Birmingham", "University of Alabama at Birmingham", "University of Alabama at Birmingham", "University of Alabama at Birmingham", "University of Alabama at Birmingham", "University of Alabama at Birmingham", "University of Alabama at Birmingham", "University of Alabama at Birmingham", "University of Alabama at Birmingham", "University of Alabama at Birmingham", "University of Alabama at Birmingham", "University of Alabama at Birmingham", "University of Alabama at Birmingham", "University of Alabama at Birmingham", "University of Alabama at Birmingham", "University of Alabama at Birmingham", "University of Alabama at Birmingham", "University of Alabama at Birmingham", "University of Alabama at Birmingham", "Amridge University", "Amridge University", "University of Alabama in Huntsville", "University of Alabama in Huntsville", "University of Alabama in Huntsville", "University of Alabama in Huntsville", "Alabama State University", "Alabama State University", "Alabama State University", "Alabama State University", "Alabama State University", "The University of Alabama", "The University of Alabama", "The University of Alabama", "The University of Alabama", "The University of Alabama", "The University of Alabama", "The University of Alabama", "The University of Alabama", "The University of Alabama", "The University of Alabama", "The University of Alabama", "The University of Alabama", "The University of Alabama", "The University of Alabama", "The University of Alabama", "The University of Alabama", "The University of Alabama", "The University of Alabama", "The University of Alabama", "The University of Alabama", "Auburn University at Montgomery", "Auburn University at Montgomery", "Auburn University at Montgomery", "Auburn University at Montgomery", "Auburn University at Montgomery", "Auburn University at Montgomery", "Auburn University at Montgomery", "Auburn University at Montgomery", "Auburn University at Montgomery", "Auburn University at Montgomery", "Auburn University at Montgomery", "Auburn University", "Auburn University", "Auburn University", "Auburn University", "Auburn University", "Auburn University", "Auburn University", "Auburn University", "Auburn University", "Auburn University", "Auburn University", "Auburn University", "Auburn University", "Auburn University", "Auburn University", "Auburn University", "Auburn University", "Faulkner University", "Faulkner University", "Faulkner University", "Faulkner University", "Jacksonville State University", "Jacksonville State University", "Jacksonville State University", "Jacksonville State University", "Jacksonville State University", "Jacksonville State University", "Jacksonville State University", "Jacksonville State University", "Jacksonville State University", "Jacksonville State University", "Jacksonville State University", "Jacksonville State University", "Jacksonville State University", "Jacksonville State University", "University of West Alabama", "University of West Alabama", "University of West Alabama", "University of West Alabama", "University of West Alabama", "University of West Alabama", "University of Montevallo", "University of Montevallo", "University of Montevallo", "University of Montevallo", "University of North Alabama", "University of North Alabama", "University of North Alabama", "University of North Alabama", "University of North Alabama", "University of North Alabama", "Samford University", "Samford University", "Samford University", "Samford University", "Samford University", "Samford University", "Samford University", "Samford University", "Samford University", "Samford University", "University of South Alabama", "University of South Alabama", "University of South Alabama", "University of South Alabama", "University of South Alabama", "University of South Alabama", "University of South Alabama", "University of South Alabama", "University of South Alabama", "University of South Alabama", "University of South Alabama", "University of South Alabama", "University of South Alabama", "Troy University", "Troy University", "Troy University", "Troy University", "Troy University", "Troy University", "Troy University", "Troy University", "Troy University", "Troy University", "Troy University", "Troy University", "Troy University", "Troy University", "Tuskegee University", "University of Alaska Anchorage", "University of Alaska Anchorage", "University of Alaska Anchorage", "University of Alaska Anchorage", "University of Alaska Anchorage", "University of Alaska Anchorage", "University of Alaska Fairbanks", "University of Alaska Fairbanks", "University of Alaska Southeast", "University of Alaska Southeast", "University of Alaska Southeast", "University of Alaska Southeast", "Alaska Pacific University", "Alaska Pacific University", "Arizona State University-Tempe", "Arizona State University-Tempe", "Arizona State University-Tempe", "Arizona State University-Tempe", "Arizona State University-Tempe", "Arizona State University-Tempe", "Arizona State University-Tempe", "Arizona State University-Tempe", "Arizona State University-Tempe", "Arizona State University-Tempe", "Arizona State University-Tempe", "Arizona State University-Tempe", "Arizona State University-Tempe", "Arizona State University-Tempe", "Arizona State University-Tempe", "Arizona State University-Tempe", "Arizona State University-Tempe", "Arizona State University-Tempe", "Arizona State University-Tempe", "Arizona State University-Tempe", "Arizona State University-Tempe", "Arizona State University-Tempe", "Arizona State University-Tempe", "Arizona State University-Tempe", "Arizona State University-Tempe", "Arizona State University-Tempe", "Arizona State University-Tempe", "Arizona State University-Tempe", "Arizona State University-Tempe", "Arizona State University-Tempe", "Arizona State University-Tempe", "Arizona State University-Tempe", "Arizona State University-Tempe", "Arizona State University-Tempe", "Arizona State University-Tempe", "Arizona State University-Tempe", "Arizona State University-Tempe", "Arizona State University-Tempe", "Arizona State University-Tempe", "Arizona State University-Tempe", "Arizona State University-Tempe", "Arizona State University-Tempe", "Arizona State University-Tempe", "Arizona State University-Tempe", "Arizona State University-Tempe", "Arizona State University-Tempe", "Arizona State University-Tempe", "Arizona State University-Tempe", "Arizona State University-Tempe", "Arizona State University-Tempe", "Arizona State University-Tempe", "Arizona State University-Tempe", "Arizona State University-Tempe", "Arizona State University-Tempe", "Arizona State University-Tempe", "Arizona State University-Tempe", "Arizona State University-Tempe", "Arizona State University-Tempe", "Arizona State University-Tempe", "Arizona State University-Tempe", "Arizona State University-Tempe", "Arizona State University-Tempe", "Arizona State University-Tempe", "Arizona State University-Tempe", "Arizona State University-Tempe", "Arizona State University-Tempe", "University of Arizona", "University of Arizona", "University of Arizona", "University of Arizona", "University of Arizona", "University of Arizona", "University of Arizona", "University of Arizona", "University of Arizona", "University of Arizona", "University of Arizona", "University of Arizona", "University of Arizona", "University of Arizona", "University of Arizona", "University of Arizona", "University of Arizona", "University of Arizona", "University of Arizona", "University of Arizona", "University of Arizona", "University of Arizona", "University of Arizona", "University of Arizona", "Northern Arizona University", "Northern Arizona University", "Northern Arizona University", "Northern Arizona University", "Northern Arizona University", "Northern Arizona University", "Northern Arizona University", "Northern Arizona University", "Northern Arizona University", "Northern Arizona University", "Northern Arizona University", "Northern Arizona University", "Northern Arizona University", "Northern Arizona University", "Northern Arizona University", "Northern Arizona University", "Northern Arizona University", "Prescott College", "University of Arkansas at Little Rock", "University of Arkansas at Little Rock", "University of Arkansas at Little Rock", "University of Arkansas at Little Rock", "University of Arkansas at Little Rock", "University of Arkansas at Little Rock", "University of Arkansas at Little Rock", "University of Arkansas at Little Rock", "University of Arkansas at Little Rock", "University of Arkansas", "University of Arkansas", "University of Arkansas", "University of Arkansas", "University of Arkansas", "University of Arkansas", "University of Arkansas", "University of Arkansas", "University of Arkansas", "University of Arkansas", "University of Arkansas", "University of Arkansas", "University of Arkansas", "University of Arkansas", "Arkansas State University-Main Campus", "Arkansas State University-Main Campus", "Arkansas State University-Main Campus", "Arkansas State University-Main Campus", "Arkansas State University-Main Campus", "Arkansas State University-Main Campus", "Arkansas State University-Main Campus", "Arkansas State University-Main Campus", "Arkansas State University-Main Campus", "Arkansas State University-Main Campus", "Arkansas State University-Main Campus", "Arkansas State University-Main Campus...
#> $ control                       <dbl+lbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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#> $ ccbasic                       <dbl+lbl> 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 20, 20, 16, 16, 16, 16, 19, 19, 19, 19, 19, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 19, 19, 19, 19, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 19, 19, 19, 19, 18, 18, 18, 18, 18, 18, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 19, 18, 18, 18, 18, 18, 18, 16, 16, 19, 19, 19, 19, 20, 20, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 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4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5,...
#> $ city                          <chr> "Normal", "Normal", "Normal", "Normal", "Normal", "Normal", "Normal", "Normal", "Normal", "Normal", "Normal", "Normal", "Birmingham", "Birmingham", "Birmingham", "Birmingham", "Birmingham", "Birmingham", "Birmingham", "Birmingham", "Birmingham", "Birmingham", "Birmingham", "Birmingham", "Birmingham", "Birmingham", "Birmingham", "Birmingham", "Birmingham", "Birmingham", "Birmingham", "Birmingham", "Birmingham", "Birmingham", "Birmingham", "Birmingham", "Montgomery", "Montgomery", "Huntsville", "Huntsville", "Huntsville", "Huntsville", "Montgomery", "Montgomery", "Montgomery", "Montgomery", "Montgomery", "Tuscaloosa", "Tuscaloosa", "Tuscaloosa", "Tuscaloosa", "Tuscaloosa", "Tuscaloosa", "Tuscaloosa", "Tuscaloosa", "Tuscaloosa", "Tuscaloosa", "Tuscaloosa", "Tuscaloosa", "Tuscaloosa", "Tuscaloosa", "Tuscaloosa", "Tuscaloosa", "Tuscaloosa", "Tuscaloosa", "Tuscaloosa", "Tuscaloosa", "Montgomery", "Montgomery", "Montgomery", "Montgomery", "Montgomery", "Montgomery", "Montgomery", "Montgomery", "Montgomery", "Montgomery", "Montgomery", "Auburn", "Auburn", "Auburn", "Auburn", "Auburn", "Auburn", "Auburn", "Auburn", "Auburn", "Auburn", "Auburn", "Auburn", "Auburn", "Auburn", "Auburn", "Auburn", "Auburn", "Montgomery", "Montgomery", "Montgomery", "Montgomery", "Jacksonville", "Jacksonville", "Jacksonville", "Jacksonville", "Jacksonville", "Jacksonville", "Jacksonville", "Jacksonville", "Jacksonville", "Jacksonville", "Jacksonville", "Jacksonville", "Jacksonville", "Jacksonville", "Livingston", "Livingston", "Livingston", "Livingston", "Livingston", "Livingston", "Montevallo", "Montevallo", "Montevallo", "Montevallo", "Florence", "Florence", "Florence", "Florence", "Florence", "Florence", "Birmingham", "Birmingham", "Birmingham", "Birmingham", "Birmingham", "Birmingham", "Birmingham", "Birmingham", "Birmingham", "Birmingham", "Mobile", "Mobile", "Mobile", "Mobile", "Mobile", "Mobile", "Mobile", "Mobile", "Mobile", "Mobile", "Mobile", "Mobile", "Mobile", "Troy", "Troy", "Troy", "Troy", "Troy", "Troy", "Troy", "Troy", "Troy", "Troy", "Troy", "Troy", "Troy", "Troy", "Tuskegee", "Anchorage", "Anchorage", "Anchorage", "Anchorage", "Anchorage", "Anchorage", "Fairbanks", "Fairbanks", "Juneau", "Juneau", "Juneau", "Juneau", "Anchorage", "Anchorage", "Tempe", "Tempe", "Tempe", "Tempe", "Tempe", "Tempe", "Tempe", "Tempe", "Tempe", "Tempe", "Tempe", "Tempe", "Tempe", "Tempe", "Tempe", "Tempe", "Tempe", "Tempe", "Tempe", "Tempe", "Tempe", "Tempe", "Tempe", "Tempe", "Tempe", "Tempe", "Tempe", "Tempe", "Tempe", "Tempe", "Tempe", "Tempe", "Tempe", "Tempe", "Tempe", "Tempe", "Tempe", "Tempe", "Tempe", "Tempe", "Tempe", "Tempe", "Tempe", "Tempe", "Tempe", "Tempe", "Tempe", "Tempe", "Tempe", "Tempe", "Tempe", "Tempe", "Tempe", "Tempe", "Tempe", "Tempe", "Tempe", "Tempe", "Tempe", "Tempe", "Tempe", "Tempe", "Tempe", "Tempe", "Tempe", "Tempe", "Tucson", "Tucson", "Tucson", "Tucson", "Tucson", "Tucson", "Tucson", "Tucson", "Tucson", "Tucson", "Tucson", "Tucson", "Tucson", "Tucson", "Tucson", "Tucson", "Tucson", "Tucson", "Tucson", "Tucson", "Tucson", "Tucson", "Tucson", "Tucson", "Flagstaff", "Flagstaff", "Flagstaff", "Flagstaff", "Flagstaff", "Flagstaff", "Flagstaff", "Flagstaff", "Flagstaff", "Flagstaff", "Flagstaff", "Flagstaff", "Flagstaff", "Flagstaff", "Flagstaff", "Flagstaff", "Flagstaff", "Prescott", "Little Rock", "Little Rock", "Little Rock", "Little Rock", "Little Rock", "Little Rock", "Little Rock", "Little Rock", "Little Rock", "Fayetteville", "Fayetteville", "Fayetteville", "Fayetteville", "Fayetteville", "Fayetteville", "Fayetteville", "Fayetteville", "Fayetteville", "Fayetteville", "Fayetteville", "Fayetteville", "Fayetteville", "Fayetteville", "Jonesboro", "Jonesboro", "Jonesboro", "Jonesboro", "Jonesboro", "Jonesboro", "Jonesboro", "Jonesboro", "Jonesboro", "Jonesboro", "Jonesboro", "Jonesboro", "Jonesboro", "Jonesboro", "Jonesboro", "Jonesboro", "Russellville", "Russellville", "Russellville", "Russellville", "Russellville", "Russellville", "Russellville", "Russellville", "Russellville", "Monticello", "Monticello", "Conway", "Conway", "Conway", "Conway", "Conway", "Conway", "Conway", "Conway", "Conway", "Conway", "Conway", "Conway", "Conway", "Conway", "Conway", "Searcy", "Searcy", "Searcy", "Searcy", "Searcy", "Searcy", "Searcy", "Searcy", "Searcy", "Arkadelphia", "Arkadelphia", "Arkadelphia", "Arkadelphia", "Arkadelphia", "Siloam Springs", "Siloam Springs", "Magnolia", "Magnolia", "Magnolia", "Magnolia", "Magnolia", "Azusa", "Azusa", "Azusa", "Azusa", "Azusa", "Azusa", "Azusa", "Azusa", "Azusa", "Azusa", "Azusa", "Azusa", "Azusa", "Azusa", "Azusa", "Azusa", "La Mirada", "La Mirada", "La Mirada", "La Mirada", "La Mirada", "La Mirada", "La Mirada", "La Mirada", "La Mirada", "La Mirada", "La Mirada", "San Francisco", "San Francisco", "Riverside", "Riverside", "Riverside", "Riverside", "Riverside", "Riverside", "Riverside", "Riverside", "Riverside", "Riverside", "Riverside", "Riverside", "Riverside", "Riverside", "Thousand Oaks", "Thousand Oaks", "Thousand Oaks", "Thousand Oaks", "Thousand Oaks", "Thousand Oaks", "Thousand Oaks", "Thousand Oaks", "Thousand Oaks", "San Luis Obispo", "San Luis Obispo", "San Luis Obispo", "San Luis Obispo", "San Luis Obispo", "San Luis Obispo", "San Luis Obispo", "San Luis Obispo", "San Luis Obispo", "San Luis Obispo", "San Luis Obispo", "San Luis Obispo", "San Luis Obispo", "San Luis Obispo", "San Luis Obispo", "Bakersfield", "Bakersfield", "Bakersfield", "Bakersfield", "Bakersfield", "Bakersfield", "Turlock", "Turlock", "Turlock", "Turlock", "San Bernardino", "San Bernardino", "San Bernardino", "San Bernardino", "San Bernardino", "San Bernardino", "San Bernardino", "San Bernardino", "San Bernardino", "San Bernardino", "San Bernardino", "San Bernardino", "San Bernardino", "San Bernardino", "San Bernardino", "Pomona", "Pomona", "Pomona", "Pomona", "Pomona", "Pomona", "Pomona", "Pomona", "Pomona", "Chico", "Chico", "Chico", "Chico", "Chico", "Chico", "Carson", "Carson", "Carson", "Carson", "Carson", "Carson", "Carson", "Carson", "Carson", "Carson", "Carson", "Fresno", "Fresno", "Fresno", "Fresno", "Fresno", "Fresno", "Fresno", "Fresno", "Fresno", "Fresno", "Fresno", "Fresno", "Fresno", "Fresno", "Fullerton", "Fullerton", "Fullerton", "Fullerton", "Fullerton", "Fullerton", "Fullerton", "Fullerton", "Fullerton", "Fullerton", "Fullerton", "Fullerton", "Fullerton", "Fullerton", "Fullerton", "Fullerton", "Fullerton", "Fullerton", "Fullerton", "Fullerton", "Fullerton", "Fullerton", "Fullerton", "Fullerton", "Fullerton", "Fullerton", "Fullerton", "Fullerton", "Fullerton", "Fullerton", "Fullerton", "Hayward", "Hayward", "Hayward", "Hayward", "Hayward", "Hayward", "Hayward", "Hayward", "Hayward", "Hayward", "Hayward", "Hayward", "Long Beach", "Long Beach", "Long Beach", "Long Beach", "Long Beach", "Long Beach", "Long Beach", "Long Beach", "Long Beach", "Long Beach", "Long Beach", "Long Beach", "Long Beach", "Long Beach", "Long Beach", "Long Beach", "Long Beach", "Long Beach", "Long Beach", "Long Beach", "Long Beach", "Long Beach", "Long Beach", "Long Beach", "Long Beach", "Long Beach", "Long Beach", "Long Beach", "Los Angeles", "Los Angeles", "Los Angeles", "Los Angeles", "Los Angeles", "Los Angeles", "Los Angeles", "Los Angeles", "Los Angeles", "Los Angeles", "Los Angeles", "Los Angeles", "Los Angeles", "Los Angeles", "Los Angeles", "Los Angeles", "Los Angeles", "Los Angeles", "Los Angeles", "Los Angeles", "Los Angeles", "Los Angeles", "Los Angeles", "Los Angeles", "Los Angeles", "Northridge", "Northridge", "Northridge", "Northridge", "Northridge", "Northridge", "Northridge", "Northridge", "Northridge", "Northridge", "Northridge", "Northridge", "Northridge", "Northridge", "Northridge", "Northridge", "Northridge", "Northridge", "Northridge", "Northridge", "Northridge", "Northridge", "Northridge", "Northridge", "Northridge", "Northridge", "Sacramento", "Sacramento", "Sacramento", "Sacramento", "Sacramento", "Sacramento", "Sacramento", "Sacramento", "Sacramento", "Sacramento", "Sacramento", "Sacramento", "Sacramento", "Sacramento", "Sacramento", "Sacramento", "Sacramento", "Sacramento", "Sacramento", "Sacramento", "Berkeley", "Berkeley", "Berkeley", "Berkeley", "Davis", "Davis", "Davis", "Davis", "Davis", "Davis", "Davis", "Davis", "Davis", "Davis", "Irvine", "Irvine", "Irvine", "Irvine", "Irvine", "Irvine", "Irvine", "Irvine", "Irvine", "Irvine", "Irvine", "Irvine", "Irvine", "Los Angeles", "Los Angeles", "Los Angeles", "Los Angeles", "Los Angeles", "Los Angeles", "Los Angeles", "Los Angeles", "Los Angeles", "Los Angeles", "Los Angeles", "Los Angeles", "Los Angeles", "Los Angeles", "Los Angeles", "Los Angeles", "Los Angeles", "Los Angeles", "Los Angeles", "Riverside", "Riverside", "Riverside", "Riverside", "La Jolla", "La Jolla", "La Jolla", "La Jolla", "La Jolla", "La Jolla", "La Jolla", "La Jolla", "La Jolla", "La Jolla", "La Jolla", "La Jolla", "La Jolla", "La Jolla", "Santa Barbara", "Santa Cruz", "Santa Cruz", "Orange", "Orange", "Orange", "Orange", "Orange", "Orange", "Orange", "Orange", "Irvine", "Irvine", "Irvine", "Irvine", "Irvine", "Irvine", "Irvine", "Claremont", "Claremont", "Claremont", "Claremont", "Claremont", "Claremont", "Claremont", "Claremont", "Claremont", "San Rafael", "San Rafael", "San Rafael", "San Rafael", "San Rafael", "San Rafael", "Santa Barbara", "Fresno", "Fresno", "Fresno", "Fresno", "Fresno", "Fresno", "Fresno", "Fresno", "Fresno", "San Francisco", "San Francisco", "San Francisco", "San Francisco", "San Francisco", "San Francisco", "San Francisco", "San Francisco", "San Francisco", "Oakland", "Oakland", "Oakland", "Oakland", "Arcata", "Arcata", "Arcata", "Arcata", "Arcata", "Arcata", "Arcata", "Arcata", "Pleasant Hill", "Pleasant Hill", "Pleasant Hill", "La Verne", "La Verne", "La Verne", "La Verne", "La Verne", "La Verne", "La Verne", "La Verne", "Riverside", "Riverside", "Riverside", "Santa Clarita", "Santa Clarita", "Los Angeles...
#> $ locale                        <dbl+lbl> 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 12, 12, 12, 12, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 43, 43, 43, 43, 43, 43, 21, 21, 21, 21, 13, 13, 13, 13, 13, 13, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 32, 11, 11, 11, 11, 11, 11, 23, 23, 33, 33, 33, 33, 11, 11, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 12, 12, 12, 12, 12, 12, 12, 12, 12, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 33, 33, 33, 33, 33, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 12, 12, 12, 12, 12, 12, 12, 12, 12, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 11, 11, 11, 11, 11, 11, 23, 23, 23, 23, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 21, 21, 21, 21, 21, 21, 21, 21, 21, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 12, 12, 12, 12, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 22, 13, 13, 12, 12, 12, 12, 12, 12, 12, 12, 11, 11, 11, 11, 11, 11, 11, 21, 21, 21, 21, 21, 21, 21, 21, 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2, 2, 2,...
#> $ cipdig2                       <chr> "09", "11", "13", "13", "14", "19", "26", "31", "42", "44", "51", "52", "09", "13", "13", "13", "13", "13", "13", "14", "23", "26", "26", "30", "44", "45", "51", "51", "51", "51", "51", "51", "51", "52", "52", "52", "19", "52", "13", "51", "52", "52", "13", "13", "44", "44", "51", "13", "13", "13", "13", "19", "22", "23", "25", "42", "44", "44", "50", "51", "51", "51", "51", "52", "52", "52", "52", "13", "13", "13", "13", "13", "24", "31", "42", "43", "52", "52", "04", "13", "13", "13", "13", "13", "13", "14", "26", "26", "30", "42", "51", "51", "52", "52", "52", "43", "51", "52", "52", "13", "13", "13", "13", "13", "13", "13", "26", "31", "42", "43", "44", "51", "52", "13", "13", "13", "13", "13", "13", "13", "13", "51", "52", "13", "13", "13", "31", "51", "52", "13", "13", "13", "39", "44", "51", "51", "51", "52", "52", "11", "13", "13", "13", "13", "13", "13", "23", "51", "51", "51", "51", "52", "09", "13", "13", "13", "31", "42", "43", "44", 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#> $ creddesc                      <chr> "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's 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"Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "...
#> $ ipedscount1                   <dbl> 8, 15, 14, 28, 9, 8, 23, 11, 56, 92, 28, 30, 13, 11, 28, 26, 68, 15, 61, 122, 11, 48, 11, NA, 29, 9, 106, 64, 23, 136, 55, 42, 554, 115, 83, 35, 28, 23, 26, 96, 95, 17, 18, 19, 7, 17, 43, 36, 24, 52, 36, 200, 57, 15, 72, 19, 9, 189, 11, 25, 13, 50, 56, 152, 89, 44, 55, 12, 18, 16, 9, 29, 16, 18, 8, 23, 46, 10, 14, NA, 53, 34, 27, 59, 61, 37, 33, 53, 12, 13, 25, 55, 210, 97, 29, 38, 41, 31, 30, NA, 45, 11, 17, 18, 40, 16, 10, 39, 6, 6, 17, 13, NA, 48, 58, 52, 90, 314, 29, 41, 47, 25, 23, NA, 14, 67, 7, 37, 116, 25, 17, 46, 38, 8, NA, NA, 117, 44, 31, 89, 18, 18, 16, 37, 24, 15, 5, 21, 39, 29, 791, 10, 44, 9, 30, 106, 32, 230, 62, 68, 106, 11, 113, 134, 16, 93, 27, 19, 20, 13, 20, 14, 27, 15, 42, 17, 19, 37, 34, 13, 13, 49, 32, 26, 7, 18, 11, 3, NA, NA, 255, NA, 64, 9, 14, 20, 40, 50, 22, 28, 56, 22, 59, 51, 68, 94, 172, 10, 159, NA, 3, NA, 32, 9, NA, NA, 9, 14, 7, NA, 12, 11, 20, NA, NA, NA, NA, NA, 40, NA, NA, 34, 20, 24, 45, 37, NA, 39, 444, 91, 53, NA, 0, 288, 19, 48, 4, 36, 24, 12, 123, 65, 36, 39, 0, 20, 51, 24, 44, 0, 25, 44, 55, 18, 26, 26, 45, 145, 263, 212, 79, 22, 252, 37, 139, 86, 91, 16, 41, 12, 21, 8, 26, 13, 46, 52, 60, 118, 44, 7, 11, 25, 35, 25, 66, 37, 42, 62, 45, 27, 126, 20, 191, 26, 7, 17, 25, 19, 15, 123, 70, 33, 23, 355, 376, 256, 23, 15, 8, 4, 8, 42, 15, 109, 38, 25, 71, 58, 12, 24, 10, 66, 45, 14, 15, 7, 15, 78, 14, 16, 12, 12, 54, 94, 16, 37, 54, 6, 10, 25, 41, 52, 57, 45, 25, 42, 66, 28, 18, 35, 11, 6, 66, 26, 11, 23, 12, 23, 47, 127, 19, 19, 38, 16, 22, 345, 55, 23, 57, NA, 158, 78, 84, 18, 16, 9, 163, 30, 22, 14, 10, 39, 0, 64, 17, 0, 69, 9, 24, NA, 28, 11, 169, 55, 13, 10, 226, 9, 4, 51, 157, 60, 19, 4, 71, NA, 168, 7, 81, 12, 32, NA, 15, 37, 83, 71, 30, 6, 10, 50, 24, 31, 31, 41, 21, 8, 24, 11, 24, 38, 1, NA, 88, 36, 16, 30, 67, 47, 118, 18, 66, 55, 127, 49, NA, 6, 0, NA, 86, 105, 11, 11, 5, 7, 11, 139, 33, 14, 22, 43, 38, 19, 24, 15, 17, 4, 17, 33, 40, 12, 23, 30, 199, NA, 34, 39, NA, 70, 74, 65, 71, NA, 55, 55, NA, 112, 93, 12, 31, 14, 12, 65, 13, NA, 23, 34, 78, 23, 27, NA, NA, NA, NA, 106, 173, 35, 71, 24, 8, NA, 15, 51, 25, NA, 103, NA, 8, 20, 12, 29, 31, NA, 23, 81, 168, 68, 30, 41, 94, 70, 41, 50, 87, 90, 27, 153, 158, 33, 24, 41, 8, NA, NA, NA, NA, NA, 13, 76, NA, 37, 12, 20, NA, 112, 17, 32, 117, 222, 26, 4, 13, 30, 37, 51, NA, 16, 24, 103, 19, 78, 48, 80, 15, 149, 93, 14, 11, 19, 13, 34, 143, 10, 10, 12, 15, 7, 10, 17, 30, 22, 83, 36, 19, 40, 78, 37, 103, NA, NA, 20, 43, 42, 42, 0, 26, 29, 329, 178, 16, 11, 71, 107, 16, 72, 43, 19, 17, 23, 18, 89, NA, NA, 66, 20, 11, NA, 26, NA, 13, 15, 8, 10, 109, 8, 5, 27, 43, 164, 23, 49, 44, 183, 141, 97, 62, NA, 16, NA, 41, 30, 0, 155, 55, 28, 122, 26, NA, NA, 21, 47, 6, 24, 22, 18, 251, 106, 112, 71, 32, NA, 184, 112, 220, 130, 194, 61, 55, 101, 25, 88, 21, 29, 182, 160, 862, 198, 58, 25, 73, 20, 262, 68, 100, 65, 73, 17, 60, 26, 29, 117, 23, 41, 126, 76, 82, 49, 15, 38, 17, 18, 64, 7, 25, 101, 263, 339, 47, 14, 34, 528, 73, 6, 8, 17, 55, 25, 22, 36, 95, 11, 17, 14, 12, 8, 51, 36, 60, 18, 16, 48, 8, 11, 10, 17, 12, 13, 49, 32, 27, 106, 106, 64, 68, 43, 154, 23, 20, 51, 11, 30, 8, 11, 19, 62, 5, 6, 22, 10, 16, 103, 103, 101, 38, 26, 26, 30, 370, 113, 18, 9, 36, 59, 38, 31, 12, 126, 24, 53, 97, 19, 2, NA, NA, 14, 8, 28, 24, 15, 86, 14, 18, 10, 11, 13, 12, 31, 23, 13, 0, 6, 19, 58, 16, 37, 25, 79, 74, 827, 9, 311, 28, 278, 117, 66, 14, 20, 43, 31, 12, 9, 28, 77, 284, 78, 30, NA, 164, 17, 9, 33, 145, 9, 24, 336, 56, 55, 39, 10, NA, 23, 25, 22, 37, 19, 35, 54, 9, 8, 2, 25, 15, 28, 6, 44, 17, 35, 80, 59, 60, 197, 34, 589, 56, 106, 30, 30, 21, 79, 13, 6, 23, 190, 24, 21, NA, 520, 31, NA, NA, NA, 47, 99, 0, 27, 19, 19, 37, 15, 43, 131, 14, 42, 11, 38, 95, 15, 27, 211, 56, NA, 85, 46, 53, 10, NA, NA, 10, 51, 17, 34, 83, NA, 23, 12, 81, 127, 29, 11, 23, 91, 52, 60, 40, 25, 56, 15, 14, 20, NA, 38, 31, 17, 32, NA, 22, 35, 73, 27, 34, 15, 26, 14, 95, 20, 46, 18, 20, 12, 41, 28, 23, 23, 28, 95, 155, 107, 30, 20, 72, 192, 103, 28, 107, 27, 35, NA, NA, 517, 37, 88, NA, 35, 81, 114, 24, 47, 89, 159, 48, 28, 113, 151, 16, 1, 12, 35, 73, 18, 10, 0, 162, 46, 35, 36, 10, 11, 41, 64, 41, 5, 0, 51, 84, 17, 241, 56, 88, 874, 51, 14, 24, 257, 103, 90, 64, 93, 446, 117, 80, 122, 282, 26, 27, 36, 102, 26, 19, 67, 192, 95, 1472, 28, 37, 44, 140, 80, 135, 56, 37, 54, 260, 166, 15, 640, 82, 74, 62, 0, 56, 166, 36, 86, 23, 66, 191, 27, 10, 152, 29, 15, 64, 52, 12, 60, 196, 112, 46, 28, 55, 14, 26, 9, 48, 18, 25, 11, 17, 132, 10, 17, 25, 10, 203, 138, 273, 58, 47, 17, 19, 12, 16, 12, 42, 44, 64, 41, 18, 31, 12, 47, 91, 16, 8, 10, 93, 12, 82, 74, 66, 178, 53, 17, 16, 34, 36, 139, 49, 19, 34, NA, 70, 67, 14, 29, 37, 40, 36, 39, 29, 18, 47, 20, 85, 177, 0, 48, 51, 13, 27, 6, 0, 43, 83, 43, 22, 9, 9, 20, 57, 46, 9, 52, 312, 25, 16, 91, 84, 4, 130, 99, 59, 51, 18, 9, 23, 49, 25, 115, 45, 13, 13, 278, 9, 36, 22, 116, 7, 37, 23, 214, 44, 110, 47, 31, 83, 18, 27, 37, 67, 101, 50, 12, 124, 6, 96, NA, 98, 88, 16, 10, 22, 26, 60, 80, 36, 20, 7, 17, 121, 102, 53, 0, 35, 61, 68, 54, 33, 137, 345, 39, 13, 31, 34, 30, 42, 12, 12, 27, 8, 96, 13, NA, 41, 95, 70, 19, 14, 38, 19, 109, NA, 9, 18, 58, 86, 12, 13, 16, NA, 14, 34, 37, 29, 45, 11, 17, 160, 27, 20, 54, 40, 160, 13, 15, 35, 41, 253, 92, 20, 258, 37, 7, 36, 16, 18, 34, 26, 21, 47, 29, 32, 22, 45, 14, 26, 32, 54, 120, 33, 23, 31, 24, 60, 155, NA, 31, 15, 59, 148, NA, NA, 21, 20, 17, 39, 22, 29, 31, 54, NA, 65, 266, 90, 27, 24, 19, 183, 9, 42, 50, NA, 27, 0, 46, 257, 65, 33, 20, 157, 94, 9, 24, 24, 43, 44, 4, 57, 7, NA, 77, 10, 53, 10, 12, 12, 9, 6, 82, 54, 30, 20, 67, 24, 17, NA, 29, 68, NA, 5, 11, NA, 130, NA, 51, 2, 73, 123, NA, 37, 173, 90, 463, 15, 19, 29, 23, 13, 9, 20, 14, 24, NA, 37, 159, 79, 124, 46, 64, 109, 62, 38, 72, 39, 108, 16, NA, 170, 25, NA, 213, 79, 30, 42, 146, 756, 43, 12, 97, 26, 28, 13, 12, 21, 23, 20, 23, 37, 88, 13, 47, 24, 24, 11, 19, 137, 41, 13, 49, 354, 11, 64, 18, 15, 27, 56, 40, 39, 26, 20, 18, 57, 18, 5, 47, 23, 30, 19, 1, 22, 44, 12, 27, 20, 14, 8, 27, 115, 30, 101, 14, 69, 41, 76, 20, 32, 41, 31, 89, 76, 164, 56, 11, 40, 70, 87, 124, 28, NA, 76, 76, 10, 17, 388, 148, 26, 15, 32, 188, 70, 13, 16, 326, 46, 213, 372, 123, 46, 46, 26, 16, 15, 133, 26, 172, 129, 7, 621, 29, 34, 66, 27, 299, 17, 63, 36, 27, 15, 53, 135, 50, 185, 136, 270, 34, 15, 18, 320, 463, 65, 10, 64, 62, 131, 24, 74, 4, 5, 26, NA, 11, 43, 8, 16, 18, 46, 10, NA, 28, 14, 41, 12, 8, 138, 44, 54, 76, 178, 99, 25, 137, 85, 22, 60, 245, 91, 19, 138, 36, 58, 56, 33, 103, 24, 15, 22, 31, 32, 34, 78, 40, 131, 54, 98, 94, 27, 23, 87, 182, 81, 79, 31, 19, 50, 4, NA, 14, NA, 23, 43, NA, 10, 9, 11, 16, 45, 3, 46, 26, 49, 26, 20, 67, 10, 28, 7, 7, 60, 29, 35, 43, 7, 24, 8, 27, 75, 130, 127, 243, 159, 25, 22, 86, 54, 193, 374, 22, 14, 18, 95, 19, 13, 12, 86, 58, 72, 6, 58, 62, 13, 64, 51, 50, 53, 38, 43, 87, 38, 14, 12, 30, 43, 53, 39, 90, 19, 8, 43, 21, 66, 37, 48, 38, 144, 597, 139, 111, 143, 102, 96, 12, 43, 83, 18, 0, 44, 34, 34, 20, 44, 60, 87, 95, 43, 29, 35, 13, 20, 17, 21, 16, 59, 4, 35, 11, 84, 69, NA, 8, 28, 19, 30, 32, 12, 26, 20, 21, 44, 17, 57, 270, 23, 26, 37, 111, 59, 36, 21, 14, 25, 22, NA, 37, 55, 25, 86, 167, 50, 31, 32, 33, 103, 129, 27, 57, 62, 231, 42, 105, 83, 22, NA, 118, 27, 28, 49, 11, 23, 19, 29, 13, 25, 60, 26, 215, 111, 48, 724, 103, 15, 15, 6, 33, NA, 5, 228, 48, 25, 20, 19, 4, 19, 21, 11, 21, 37, NA, 42, 130, 5, 19, 22, 23, 9, 15, 106, 16, 125, 89, 17, 10, 17, 57, 13, 28, 9, 149, 232, 68, 61, 22, 21, 78, 34, 14, 26, 8, 17, 1, 22, 10, 8, 15, 38, 22, 24, 22, 24, 3, 113, 21, 44, 91, 24, 12, 20, 130, 49, 25, 75, 111, 32, NA, 53, 45, 34, 11, 24, 10, 33, 262, 48, 17, 36, 31, 44, 223, 62, 240, 194, 76, 47, 27, 160, 706, 114, 118, 27, 20, 33, 8, 100, 65, 7, 4, 11, 134, 21, 45, 98, 22, 14, 19, 52, 238, NA, 19, 7, 95, 764, 50, 16, 43, 7, 13, NA, 9, 137, 91, 20, 21, 34, 40, 71, 13, 45, 50, 78, 18, 12, 13, 8, 81, 326, 49, 37, 14, 14, 19, 112, 5, 38, 127, 16, 13, 23, 63, 20, 5, 228, 29, 85, 264, 127, 58, 54, 57, 10, 104, 14, 47, 89, 13, 9, 119, 18, 57, NA, 24, 65, 20, 18, 19, 16, 1, 12, 48, 26, 23, 30, 44, 45, 164, 41, 52, 31, 23, 34, 233, 78, 9, 13, 12, 41, 24, 0, 6, 35, 46, 13, 86, 21, 11, 8, 31, 12, 18, 26, 19, 24, 16, 11, 17, 89, 31, 17, 46, 41, 27, 19, 37, 80, 23, 105, 27, 10, 58, 10, 12, 17, 27, 23, 77, 2, 37, 11, 70, 12, 89, 43, 33, 25, 134, 20, 9, 36, 144, 116, 0, 36, 52, 338, 86, NA, 399, 14, 12, 36, 24, 37, 46, 81, 583, 121, 115, 36, 97, 338, 200, 28, 78, 23, 26, 12, 308, 36, 22, 61, 6, 17, 15, 1, 20, 48, 28, 13, 15, 10, 27, 42, 21, 21, 11, NA, 87, 48, NA, 22, 185, 13, 30, 75, 24, 14, 17, 8, 14, 34, 13, 103, 59, 12, 15, 19, 116, 19, 4, 38, 46, 94, 20, 77, 20, 35, 31, 36, 19, 25, 50, 62, 21, 23, 25, 13, 41, 44, 101, 0, 84, 66, 193, 85, 23, 16, 21, 74, 13, 46, 28, 39, 14, 22, 37, 10, 11, 22, 21, 57, 69, 99, 11, 18, 11, 76, 50, 55, 152, 2, 15, 16, 44, 65, 245, 144, 17, 21, 30, 18, 124, 35, 10, 40, 83, 7, NA, 49, 38, 40, 27, 132, 37, 13, NA, 11, 16, 229, 23, NA, 37, 9, 39, 17, 41, 40, NA, 23, 21, 17, 30, 156, 36, 71, 21, 55, 38, 78, 22, 32, 21, 15, 0, 51, 11, 77, 97, 41, 21, 9, 12, 32, 36, 100, 10, 33, 46, 78, 35, 33, 0, 28, 12, 27, 62, 22, 15, 41, 23, 12, 25, 23, 16, 102, 11, 11, 13, 12, 32, 39, 142, 29, 0, 27, 9, 32, 80, 27, 154, 17, 10, 29, 12, 23, 24, 112, 12, 17, 19, 120, 37, 15, 13, 42, 75, 11, 56, 36, 16, 27, 45, 26, 18, 42, 11, 14, 9, 11, 12, 11, 2, 14, 19, 55, 4, 14, 24, 54, 20, 25, 33, 12, 53, 34, 13, 19, 30, 12, 379, 22, 87, 23, 24, 22, 14, 28, 21, 32, 14, 100, 27, 111, 110, 99, 61, 6, 148, 205, 210, 41, 1255, 33, 27, 12, 21, 19, 20, 15, 178, 350, 133, 45, 34, 86, 102, 16, 85, 13, 9, 14, 91, 10, 35, 22, 30, 38, 10, 134, 82, 22, 46, 6, 8, 42, 12, 63, 141, 52, NA, 23, 26, 25, 12, 29, NA, NA, 65, 14, 19, NA, 36, 10, 30, 45, 53, 45, 72, 158, 170, 45, 12, 111, 16, 46, 84, 43, 35, 22, 45, 20, 8, 20, 26, 13, 48, 22, 28, 21, 12, 21, 63, 22, 23, 34, 16, 38, 53, 38, 14, 29, 56, 17, 24, 18, 60, 136, 64, 49, 19, 57, 25, 31, 114, 25, 13, 11, 9, 76, 202, 78, 213, 46, 14, 24, 176...
#> $ ipedscount2                   <dbl> 17, 9, 4, 24, 17, 10, 22, 12, 54, 79, 28, 27, 12, 30, 38, 14, 66, 42, 67, 109, 11, 44, 31, NA, 29, 14, 81, 82, 20, 138, 53, 33, 600, 133, 74, 62, 33, 23, 41, 120, 89, 28, 7, 32, 25, 5, 42, 22, 28, 65, 38, 214, 43, 19, 77, 20, 20, 225, 17, 23, 12, 64, 80, 185, 86, 41, 56, 11, 16, 18, 6, 40, 19, 18, 12, 18, 55, 16, 15, NA, 30, 39, 36, 64, 56, 32, 36, 52, 20, 14, 22, 47, 247, 79, 30, 41, 32, 74, 23, NA, 46, 11, 18, 20, 29, 16, 12, 26, 7, 8, 21, 12, NA, 70, 69, 84, 107, 306, 38, 43, 47, 24, 19, NA, 11, 59, 11, 38, 182, 32, 6, 52, 33, 13, 31, NA, 131, 48, 32, 60, 16, 12, 30, 77, 13, 9, 12, 20, 40, 30, 773, 9, 53, 12, 22, 84, 38, 203, 60, 74, 86, 8, 63, 126, 27, 90, 13, 25, 12, 6, 19, 22, 26, 6, 34, 18, 21, 30, 33, 11, 28, 40, NA, 18, 39, 21, 9, 16, NA, NA, 304, 2, 55, 4, 12, 18, 51, 36, 23, 15, NA, 18, 52, 25, 72, 83, 240, NA, 137, NA, 3, NA, 20, 11, NA, NA, 4, 9, 20, 1, 24, 9, 25, NA, NA, NA, NA, NA, 31, NA, NA, 37, 9, 24, 58, 39, NA, 36, 299, 110, 67, NA, NA, 195, 33, 30, 10, 25, 23, 12, 120, 41, 45, 39, 0, 18, 83, 16, 59, 21, 23, 26, 46, 17, 26, 23, 37, 176, 260, 214, 78, 16, 269, 30, 110, 104, 72, 16, 43, 19, 18, 16, 16, 10, 61, 68, 57, 121, 47, 14, 7, 34, 20, 9, 69, 31, 38, 66, 39, 16, 79, 26, 185, 19, 18, 51, 9, 22, 20, 128, 53, 30, 19, 265, 457, 242, 23, 12, 131, 19, 10, 74, 15, 99, 43, 27, 63, 42, 21, 10, 14, 54, 46, 10, 19, 10, 8, 93, 13, 10, 12, 14, 76, 92, 24, 30, 45, 17, 16, 42, 25, 48, 48, 65, 17, 49, 70, 14, 20, 35, 10, 13, 56, 20, 20, 25, 10, 16, 75, 99, 18, 28, 38, 14, 38, 412, 59, 27, 55, NA, 109, 69, 67, 29, 24, 7, 190, 43, 38, 9, 26, 38, NA, 58, 36, 1, 107, 10, 31, 20, 14, 14, 143, 38, 11, 11, 248, 19, 13, 86, 155, 39, 17, 29, 75, NA, 235, 14, 65, 14, 43, NA, 19, 15, 91, 48, 10, 18, 12, 114, 22, 24, 27, 24, 19, 12, 7, 16, 38, 54, 52, 33, 127, 34, 17, 17, 74, 33, 95, 11, 101, 69, 83, 48, NA, 44, 0, 15, 53, 109, 9, 16, 17, 26, 14, 134, 48, 13, 39, 39, 51, 26, 25, 13, 24, 9, 11, 29, 81, 7, 25, 34, 195, NA, 37, 22, NA, 90, 70, 70, 83, NA, 58, 220, NA, 124, 22, 6, 27, 16, 24, 50, 10, NA, 9, 35, 69, 21, 22, NA, NA, NA, NA, 65, 168, 42, 43, 18, 23, NA, 20, 40, 29, NA, 101, NA, 13, 15, 14, 26, 23, NA, 30, 66, 99, 58, 29, 38, 81, 50, 52, 37, 103, 139, 44, 113, 168, 34, 67, 47, 13, NA, NA, NA, NA, NA, 28, 84, NA, 29, 11, 45, NA, 107, 19, 22, 111, 219, 33, 15, 21, 20, 29, 52, NA, 18, 0, 131, 22, 65, 41, 100, 10, 56, 21, 13, 12, 13, 7, 18, 139, 14, 10, 9, 15, 15, 15, 18, 37, 0, 72, 43, 16, 21, 118, 40, 113, NA, NA, 20, 24, 31, 45, 15, 21, 12, 179, 182, 26, 14, 52, 116, 27, 99, 49, 26, 15, 29, 10, 98, NA, NA, 78, 17, 15, NA, 23, NA, 19, 16, 12, 9, 120, 13, 11, 27, 46, 114, 11, 3, 35, 270, 158, 141, 59, NA, 30, 24, 37, 32, 30, 172, 36, 26, 161, 18, NA, NA, 18, 34, 10, 19, 29, 14, 231, 118, 41, 63, 25, NA, 232, 96, 186, 142, 194, 42, 51, 108, 22, 85, 17, 29, 168, 172, 808, 123, 34, 18, 94, 37, 246, 75, 159, 84, 76, 6, 87, 26, 30, 162, 20, 10, 120, 77, 79, 70, 27, 43, 22, 29, 81, 16, 20, 117, 228, 225, 80, 36, 21, 455, 59, 10, 13, 7, 54, 14, 11, 27, 77, 7, 21, 9, 21, 14, 36, 25, 61, 18, 17, 86, 6, 16, 10, 18, 11, 12, 36, 30, 35, 80, 102, 51, 75, 36, 187, 13, 26, 35, 13, 31, 7, 37, 20, 52, 12, 11, 29, 13, 24, 121, 113, 114, 37, 31, 50, 20, 393, 136, 17, 8, 20, 63, 31, 45, 24, 135, 40, 67, 109, 19, 14, NA, NA, 27, 15, 45, 24, 9, 82, 52, 21, 17, 11, 10, 17, 18, 30, 11, 0, 10, 13, 68, 10, 29, 22, 66, 79, 650, 4, 224, 21, 304, 154, 89, 11, 31, 51, 42, 18, 6, 19, 52, 503, 77, 28, NA, 116, 12, 7, 29, 148, 19, 19, 282, 44, 89, 27, 11, 20, 45, 14, 29, 54, 16, 31, 46, 17, 1, 1, 36, 16, 33, 11, 32, 15, 27, 60, 61, 73, 225, 22, 608, 71, 171, 31, 48, 31, 85, 16, 16, 63, 186, 17, 25, NA, 426, 40, NA, NA, NA, 88, 123, 0, 9, 23, 10, 34, 13, 41, 101, 12, 46, 16, 40, 101, 20, 28, 169, 47, NA, 96, 71, 93, 13, NA, NA, 21, 55, 16, 45, 100, NA, 26, 24, 98, 132, 44, 13, 17, 104, 51, 32, 55, 24, 57, 9, 6, 22, NA, 42, 29, 20, 20, 1, 14, 49, 81, 28, 43, 21, 9, 20, 117, 15, 40, 12, 5, 13, 36, 39, 12, 20, 26, 96, 113, 88, 33, 6, 75, 210, 132, 43, 129, 26, 32, NA, NA, 549, 36, 159, NA, 43, 56, 118, 22, 15, 110, 183, 39, 40, 89, 131, 8, 0, 15, 55, 63, 17, 22, 0, 151, 38, 41, 30, 16, 8, 30, 62, 48, 12, 0, 43, 102, 33, 244, 62, 90, 872, 28, 10, 35, 328, 94, 88, 65, 88, 452, 123, 67, 134, 378, 19, 28, 28, 160, 13, 15, 92, 183, 90, 1383, 20, 31, 46, 146, 82, 151, 58, 39, 37, 257, 183, 19, 670, 96, 82, 64, 17, 49, 172, 51, 76, 17, 74, 200, 17, 27, 138, 29, 12, 55, 50, 18, 55, 199, 117, 33, 9, 71, 14, 22, 4, 40, 10, 17, 17, 16, 131, 13, 14, 14, 12, 193, 157, 290, 70, 28, 20, 37, 3, 11, 11, 32, 37, 54, 43, 19, 33, 11, 34, 88, 14, 42, 14, 82, 10, 78, 78, 63, 168, 68, 17, 17, 25, 7, 152, 65, 48, 18, 18, 70, 92, 20, 28, 65, 44, 31, 24, 27, 35, 84, 17, 75, 140, 0, 60, 37, 11, 33, 14, 73, 37, 4, 36, 23, 16, 11, 35, 83, 58, 13, 48, 307, 28, 12, 89, 62, 12, 118, 110, 50, 59, 16, 12, 15, 32, 30, 100, 42, 7, 8, 279, 9, 31, 23, 98, 11, 26, 36, 171, 55, 76, 28, 29, 78, 32, 44, 33, 42, 123, 50, 25, 120, 9, 113, 36, 110, 116, 17, 35, 18, 37, 77, 114, 28, 44, 25, 14, 152, 93, 61, 0, 38, 64, 51, 56, 29, 105, 297, 56, 38, 35, 46, 33, 63, 9, 14, 31, 14, 88, 14, NA, 28, 133, 81, 19, 17, 38, 23, 108, NA, 7, 23, 34, 63, 18, 14, 17, NA, 26, 26, 29, 27, 75, 24, 20, 160, 37, 21, 43, 34, 142, 15, 17, 27, 54, 277, 87, 44, 288, 60, 9, 35, 18, 25, 29, 35, 38, 66, 18, 28, 30, 32, 10, 26, 31, 41, 101, 40, 41, 41, 23, 51, 159, NA, 35, 19, 58, 130, NA, NA, 14, 19, 24, 41, 42, 30, 22, 53, NA, 76, 267, 88, 39, 14, 0, 216, 15, 66, 58, NA, 31, 0, 46, 239, 82, 30, 35, 167, 110, 14, 25, 28, 42, 60, 12, 57, 17, 19, 65, 28, 24, 12, 5, 19, 8, 10, 81, 17, 18, 23, 59, 28, 39, NA, 15, 78, NA, 10, 9, NA, 72, NA, 65, 1, 106, 113, NA, 39, 190, 99, 472, 15, 34, 30, 29, 14, 9, 19, 12, 19, 26, 45, 140, 30, 0, 46, 58, 71, 45, 53, 100, 39, 121, 0, 3, 208, 23, NA, 63, 631, 40, 0, 0, 17, 0, 16, 98, 25, 29, 4, 20, 18, 15, 17, 19, 36, 106, 13, 40, 27, 23, 12, 36, 163, 39, 17, 52, 332, 13, 51, 14, 14, 10, 117, 35, 24, 57, 14, 19, 49, 16, 11, 28, 19, 10, 9, 12, 27, 36, 26, 23, 16, 15, 14, 12, 106, 41, 96, 113, 73, 29, 59, 19, 36, 18, 25, 97, 109, 134, 55, 18, 82, 74, 91, 47, 63, NA, 50, 67, 16, 43, 383, 174, 16, 17, 35, 230, 72, 12, 17, 411, 44, 212, 381, 115, 53, 83, 44, 10, 22, 108, 23, 180, 101, 8, 698, 23, 27, 56, 35, 320, 13, 48, 48, 24, 20, 54, 179, 25, 173, 133, 230, 26, 43, 16, 326, 527, 65, 27, 52, 54, 178, 16, 94, 9, 9, 17, 30, 16, 38, 7, 25, 31, 19, 13, 19, 20, 11, 32, 17, 10, 104, 33, 37, 90, 130, 100, 38, 104, 130, 30, 39, 240, 96, 18, 103, 35, 61, 60, 39, 60, 15, 11, 17, 29, 25, 34, 78, 45, 143, 77, 95, 93, 25, 13, 101, 269, 67, 89, 58, 1, 52, 6, NA, 18, NA, 22, 41, NA, 14, 11, 18, 19, 49, 10, 45, 25, 58, 10, 24, 96, 17, 18, 8, 16, 64, 22, 33, 24, 12, 15, 8, 23, 118, 110, 135, 274, 194, 19, 39, 44, 54, 170, 386, 21, 14, 34, 87, 19, 18, 13, 80, 52, 54, 20, 59, 70, 17, 54, 39, 30, 36, 27, 31, 80, 37, 35, 9, 40, 39, 46, 38, 102, 0, 14, 47, 63, 85, 57, 48, 27, 136, 620, 115, 76, 140, 88, 83, 21, 123, 74, 13, 26, 74, 33, 28, 22, 44, 81, 95, 89, 41, 27, 36, 25, 9, 19, 24, 25, 52, 22, 32, 17, 81, 48, NA, 6, 33, 35, 32, 33, 9, 27, 24, 24, 40, 9, 60, 215, 39, 21, 33, 144, 81, 24, 29, 11, 19, 20, NA, 43, 64, 33, 90, 178, 44, 17, 46, 42, 92, 147, 21, 28, 53, 165, 53, 152, 72, 16, NA, 94, 65, 32, 66, 11, 32, 20, 26, 15, 30, 59, 26, 200, 112, 41, 715, 109, 38, 18, 10, 34, 7, 20, 189, 38, 37, 23, 14, 9, 17, 28, 12, 29, 37, 41, 59, 138, 15, 42, NA, 17, 26, 12, 123, 20, 151, 79, 15, 16, 14, 58, 13, 23, 21, 144, 239, 94, 84, 40, 35, 71, 16, 28, 28, 12, 19, 17, 13, 20, 9, 15, 22, 23, 19, 21, 0, 43, 110, 24, 32, 92, 31, 14, 22, 119, 38, 15, 35, 93, 7, NA, 59, 54, 31, 10, 21, 5, 28, 264, 46, 7, 23, 47, 46, 224, 60, 244, 164, 67, 46, 19, 156, 686, 91, 85, 11, 14, 20, 15, 85, 39, 11, 3, 19, 182, 19, 40, 71, 26, 15, 20, 70, 229, NA, 6, 13, 86, 771, 48, 6, 32, 19, 26, NA, 13, 146, 86, 35, 23, 17, 22, 62, 25, 52, 63, 53, 12, 11, 10, 11, 86, 240, 90, 43, 10, 48, 21, 124, 21, 21, 90, 14, 11, 26, 66, 13, 24, 208, 52, 81, 249, 148, 68, 47, 75, 8, 67, 12, 26, 89, 16, 14, 126, 11, 59, NA, 24, 46, 17, 25, 24, 13, 0, 15, 76, 19, 10, 23, 39, 47, 139, 48, 51, 28, 50, 60, 251, 103, 13, 16, 10, 39, 26, 0, 13, 40, 47, 39, 126, 23, 8, 5, 22, 17, 24, 17, 15, 27, 18, 13, 20, 80, 20, 4, 50, 14, 18, 35, 16, 81, 18, 68, 19, 5, 50, 6, 12, 8, 18, 17, 83, 18, 53, 31, 79, 14, 82, 39, 54, 26, 142, 17, 9, 30, 138, 120, 7, 36, 53, 379, 111, NA, 421, 10, 28, 34, 19, 3, 42, 113, 941, 143, 144, 41, 102, 354, 225, 27, 72, 33, 16, 14, 347, 56, 13, 65, 21, 32, 29, 7, 23, 49, 23, 0, 9, 24, 33, 43, 37, 25, 12, 40, 84, 31, 37, 19, 285, 18, 41, 61, 21, 24, 19, 15, 22, 53, 36, 118, 53, 17, 15, 32, 165, 22, 10, 63, 46, 129, 15, 74, 13, 45, 22, 39, 16, 27, 42, 60, 18, 23, 18, 19, 31, 44, 135, 29, 69, 55, 152, 112, 18, 24, 19, 80, 14, 43, 30, 41, 11, 20, 35, 16, 20, 19, 19, 46, 72, 91, 19, 24, 10, 60, 55, 71, 170, 14, 18, 18, 24, 70, 255, 124, 7, 17, 50, 20, 123, 40, 11, 39, 97, 9, 15, 47, 16, 61, 29, 170, 42, 11, 1, 5, 18, 226, 23, NA, 23, 8, 34, 19, 41, 50, NA, 19, 14, 16, 24, 162, 28, 84, 32, 40, 60, 72, 33, 40, 20, 15, 0, 63, 13, 65, 129, 51, 20, 13, 13, 31, 37, 101, 8, 36, 56, 60, 30, 64, 22, 22, 11, 14, 33, 19, 39, 54, 16, 14, 22, 24, 19, 95, 6, 9, 12, 10, 25, 46, 127, 14, 57, 21, 16, 20, 58, 36, 171, 24, 19, 32, 13, 30, 24, 187, 7, 17, 17, 145, 30, 11, 23, 59, 72, 16, 60, 21, 16, 36, 50, 20, 17, 37, 8, 7, 14, 8, 7, 14, 20, 9, 14, 34, 14, 3, 16, 48, 22, 13, 35, 10, 80, 32, 13, 42, 19, 23, 325, 20, 106, 20, 36, 9, 10, 38, 16, 36, 25, 120, 57, 103, 81, 155, 35, 30, 149, 206, 235, 48, 1322, 25, 26, 8, 17, 17, 9, 13, 168, 424, 115, 52, 32, 67, 86, 36, 148, 29, 17, 11, 169, 8, 24, 27, 35, 41, 12, 115, 91, 14, 51, 34, 6, 24, 20, 67, 108, 44, NA, 15, 32, 32, 17, 20, NA, NA, 55, 7, 17, NA, 25, 8, 30, 34, 57, 26, 204, 192, 149, 86, 45, 72, 53, 61, 54, 41, 17, 26, 36, 18, 13, 38, 37, 23, 55, 17, 30, 22, 12, 43, 70, 30, 18, 32, 6, 57, 54, 20, 21, 28, 50, 29, 14, 14, 54, 115, 47, 58, 12, 48, 37, 44, 114, 18, 11, 19, ...
#> $ debt_all_stgp_eval_n          <dbl> 19, 14, NA, 45, 17, NA, 32, 16, 72, 146, 44, 43, 13, 22, 36, 22, 66, 31, 52, 116, 10, 56, 16, NA, 24, 13, 83, 112, 32, 102, 77, 16, 713, 70, 74, 52, 16, 17, 34, 138, 39, 12, 15, 40, NA, 18, 71, 45, 20, 40, 25, 123, 34, 11, 76, 13, 11, 244, 15, 29, 15, 50, 59, 103, 10, 16, 23, 14, 17, 23, 10, 45, 24, 24, 12, 26, 21, 11, 16, NA, 34, 38, 32, 52, 43, 21, 19, 30, 19, 10, 25, 77, 139, 50, 17, 37, 32, 61, 39, NA, 44, 18, 31, NA, 40, 26, 11, 38, NA, 10, 18, 13, NA, 86, 61, 81, 102, 270, 19, 42, 50, 32, 14, NA, 10, 51, 10, 31, 105, 36, 12, 60, 22, 17, 22, NA, 185, 10, 18, 11, 19, 18, 29, 64, 19, 10, 11, 27, 64, 37, 880, 10, 31, 17, 22, 75, 19, 128, 31, 55, 145, 11, 84, 77, 17, 70, 35, 16, 11, 14, 20, 10, 11, 12, 22, 15, 16, 25, 15, 14, 14, 58, 13, 13, 18, 24, 10, 29, 24, 25, 11, 1055, 206, 25, 16, 40, 55, 195, 34, 19, 47, 15, 30, 16, 19, 13, 18, 12, 31, 34, 175, 27, 37, 12, 113, 31, 51, 65, 13, 42, 54, 26, 29, 268, 222, 81, 10, 502, 35, 37, 95, 30, 15, 32, 42, 55, 114, 29, 409, 50, 23, 13, 108, 146, 25, 26, 72, 14, 14, 13, 33, 58, 36, 36, 36, 13, 15, 15, 53, 13, 22, 29, 36, 21, 21, 28, 39, 148, 273, 172, 46, 16, 280, 32, 112, 87, 82, 11, 38, 13, 10, 17, 25, 12, 78, 98, 67, 123, 14, 13, 10, 37, 23, 12, 104, 21, 36, 43, 33, 20, 109, 20, 47, 15, 11, 47, 14, 23, 30, 97, 28, 24, 18, 359, 451, 312, 28, 18, 103, 15, 12, 58, 17, 112, 27, 38, 110, 25, 27, 11, 13, 59, 31, 17, 18, 11, 11, 96, 13, 14, 10, 13, 73, 104, 15, 34, 53, 13, 14, 45, 36, 85, 46, 28, 25, 39, 89, 25, NA, 64, 12, NA, 39, 16, 13, 25, 11, 15, 95, 121, 18, 31, 47, 15, 16, 620, 81, 20, 56, NA, 144, 130, 91, 34, 16, NA, 231, 37, NA, 13, 26, 39, NA, 38, 18, NA, 70, 11, 24, 16, 28, 11, 179, 47, 19, 14, 342, 24, 10, 71, 265, 76, 30, 27, 129, NA, 110, 17, 84, 15, 49, NA, 12, 35, 11, 25, 17, 10, 13, 68, 21, 11, 23, 18, 10, 12, 11, 18, 16, 14, 17, 13, 59, 24, 11, 10, 42, 24, 68, 11, 105, 65, 17, 12, NA, 11, NA, NA, 49, 170, 10, 13, 10, 26, 19, 110, 19, 11, 12, 27, 24, 28, 18, 22, 10, NA, 12, 42, 75, 12, 28, 19, 24, NA, 13, 28, NA, 87, 99, 77, 52, NA, 38, 41, NA, 37, 16, 12, 29, 24, 19, 43, 10, NA, 19, 30, 83, 21, 17, NA, NA, NA, NA, 25, 37, 36, 11, 15, 13, NA, 10, 50, 13, NA, 124, NA, 13, 13, 14, 26, 27, NA, 18, 77, 71, 36, 22, 40, 49, 50, 44, 10, 87, 147, 44, 72, 87, 16, 15, 10, 11, NA, NA, NA, NA, NA, 20, 39, NA, 22, 11, 14, NA, 80, NA, 17, 101, 285, 32, 10, 13, 12, 51, 44, NA, 19, 12, 99, 16, 28, 53, 114, 11, 20, 11, 11, 15, 10, 10, 25, 188, 11, 10, 11, 18, 14, 10, 11, 30, 14, 65, 33, 16, 16, 22, 19, 70, NA, NA, 10, 12, 21, 47, NA, 11, 35, 346, 217, 20, 11, 55, 73, 22, 94, 40, 14, 12, 22, 10, 16, NA, NA, 108, 15, 12, NA, 13, NA, 20, 22, 11, 11, 139, 10, NA, 46, 28, 119, 18, 27, 12, 27, 13, 142, 12, NA, 12, NA, 38, 22, 17, 123, 39, 30, 138, 16, NA, NA, 14, 51, 10, 31, 27, 27, 222, 69, 40, 56, 12, NA, 221, 25, 18, 21, 17, 50, 38, 151, 20, 92, 15, 15, 150, 197, 509, 205, 28, 22, 27, 14, 13, 35, 26, 28, 23, 10, 25, 23, 12, 75, 20, 20, 59, 51, 98, 19, 16, 13, 16, 28, 54, 17, 29, 67, 423, 451, NA, 14, 28, 379, 48, 11, 12, 10, 46, 25, NA, 28, 24, 10, 18, 12, 19, 11, 68, 25, 19, 13, 15, 18, 10, NA, 13, 31, 15, 16, 24, 22, 30, 38, 52, 30, 48, 11, 69, 13, 36, 53, 14, 18, NA, 17, 25, 78, 10, 10, 26, 11, 19, 145, 32, 32, 24, 19, 19, 27, 116, 59, 18, 13, 32, 10, 10, 29, 18, 88, 25, 86, 113, 11, 11, NA, NA, 27, 16, 37, 36, 12, 75, 46, 10, 15, 12, 17, 16, 29, 28, 18, NA, NA, 21, 80, 17, 57, 29, 29, 60, 1143, NA, 346, 37, 489, 239, 124, 17, 13, 60, 52, 13, 10, 23, 87, 676, 34, 17, NA, 165, 25, 12, 36, 169, 18, 35, 241, 65, 70, 21, 14, 13, 44, 27, 33, 41, 24, 28, 82, 12, NA, NA, 25, 16, 38, 12, 11, 11, 29, 76, 22, 68, 235, 31, 330, 39, 209, 38, 48, 36, 77, 16, 15, 60, 292, 14, 37, NA, 402, 18, NA, NA, NA, 123, 30, NA, 15, 25, 14, 15, 13, 30, 122, 16, 26, 15, 41, 72, 12, 13, 73, 16, NA, 120, 72, 75, 18, NA, NA, 13, 45, 18, 63, 80, NA, 33, 23, 118, 69, 12, 11, 15, 28, 36, 35, 21, 34, 12, 11, 10, 17, NA, 29, 31, 10, 32, NA, 22, 27, 46, 11, 37, 12, 13, 13, 126, 15, 42, 24, 12, 13, 30, 12, 17, 22, 18, 108, 163, 135, 14, 10, 85, 247, 78, 33, 32, 12, 15, NA, NA, 278, 16, 47, NA, 20, 34, 34, 10, 13, 69, 15, 13, 11, 93, 73, 17, NA, NA, 50, 39, 15, 11, NA, 120, 25, 21, 40, 14, 11, 27, 32, 35, 11, NA, 41, 36, 33, 187, 47, 41, 52, 59, 17, 48, 273, 71, 44, 18, 22, 23, 20, 11, 17, 21, 38, 20, 12, 71, 13, 22, 92, 143, 53, 2410, 27, 23, 52, 142, 59, 104, 93, 46, 26, 266, 150, 30, 464, 72, 53, 14, 13, 13, 71, 15, 40, 20, 62, 206, 22, 11, 196, 25, 18, 80, 48, 13, 19, 97, 52, 34, 11, 76, 11, 13, NA, 32, 10, 25, 14, 23, 140, 10, 13, 20, 17, 199, 165, 232, 57, 21, 18, 15, 10, 16, 12, 34, 37, 54, 42, 16, 28, 13, 47, 73, 17, 21, 11, 15, 12, 26, 28, 22, 13, 12, 16, 21, 27, 38, 102, 16, 21, 22, 12, 70, 64, 11, 14, 28, 34, 13, 13, 19, 31, 53, 10, 22, 175, NA, 15, 11, 16, 29, 10, 48, 47, 31, 44, 14, 12, 10, 24, 82, 40, 12, 76, 137, 23, 18, 91, 70, 10, 86, 66, 36, 29, 21, 16, 26, 57, 27, 97, 57, 12, 10, 352, NA, 27, 16, 109, 11, 34, 25, 173, 26, 43, 37, 23, 38, 20, 22, 20, 65, 160, 52, 21, 150, 11, 122, 12, 35, 45, 26, 16, 23, 34, 62, 105, 24, 47, 18, 16, 58, 64, 50, NA, 24, 35, 39, 44, 16, 54, 226, 46, 23, 49, 17, 38, 67, 10, 10, 21, NA, 57, 12, NA, 45, 16, 51, 12, 17, 70, 17, 60, NA, NA, 10, 37, 52, 10, 15, 12, NA, 18, 49, 52, 17, 50, 10, 13, 187, 10, 10, 91, 17, 202, 14, 24, 21, 43, 96, 65, 26, 16, 53, 12, 23, 19, 15, 27, 14, 13, 46, 15, 23, 20, 26, 15, 20, 36, 18, 40, 29, 28, 36, 22, 62, 120, NA, 23, 12, 45, 17, NA, NA, 12, 18, 18, 64, 27, 40, 36, 28, NA, 47, 200, 63, 19, 11, 15, 37, 12, 68, 10, NA, 33, NA, 73, 205, 30, 30, 12, 127, 62, 11, 11, 17, 42, 55, 11, 63, 11, NA, 24, NA, 20, 12, 12, 10, 10, 10, 122, 44, 26, 17, 74, 29, 31, NA, NA, 38, NA, NA, 15, NA, 105, NA, 49, NA, 47, 23, NA, 55, 32, 160, 253, 16, 48, 21, 19, 10, NA, 11, 11, 19, 20, 10, 69, 55, 30, 49, 41, 47, 27, 37, 82, 19, 109, 10, NA, 54, NA, NA, 62, 29, 33, 12, 75, 39, 14, 13, 131, 32, 29, 10, 12, 25, 27, 20, 28, 50, 46, 17, 52, 29, 18, 15, 31, 189, 44, 17, 47, 414, 12, 59, 21, 15, 18, 121, 18, 16, 60, 10, 20, 14, 11, 11, 44, 17, 17, 12, NA, 31, 44, 17, 21, 16, 12, NA, 16, 108, 45, 34, 16, 92, 31, 61, 21, 32, 32, 28, 34, 20, 50, 55, 19, 69, 82, 78, 18, 26, NA, 59, 78, 12, 29, 335, 116, 21, 18, 39, 212, 112, 16, 16, 473, 49, 227, 226, 24, 19, 59, 11, 11, 24, 106, 13, 123, 82, 10, 213, 16, 20, 44, 29, 231, 10, 30, 16, 21, 17, 10, 167, 36, 89, 43, 218, 23, 23, 16, 494, 341, 66, 22, 51, 40, 99, 29, 146, NA, 10, 33, NA, NA, 35, 11, 34, 34, 38, NA, NA, 44, NA, 59, NA, 10, 196, 32, 67, 90, 247, 173, NA, 201, 60, 18, 32, 203, 16, 11, 100, 25, 22, 55, 18, 71, 13, 11, 13, 10, 16, 27, 49, 33, 127, 29, 103, 67, 23, 17, 52, 109, 64, 41, 19, 11, 15, 31, 30, 18, 11, 255, 270, 17, 12, 13, 21, 26, 65, NA, 57, 45, 56, 17, 23, 89, 10, 28, 10, 10, 36, 22, 35, 41, 10, 13, 12, 42, 126, 168, 105, 285, 230, 26, 32, 12, 16, 183, 146, 23, 11, 13, 100, 26, 16, 13, 72, 15, 50, 11, 56, 70, 16, 33, 54, 48, 35, 18, 13, 36, 18, 22, 10, 46, 24, 29, 25, 99, NA, 12, 77, 66, 109, 55, 84, 28, 156, 728, 105, 68, 56, 117, 67, 24, 115, 71, 14, 22, 85, 38, 26, 12, 37, 31, 93, 76, 39, 21, 39, 10, 14, 11, 15, 26, 51, 10, 20, 16, 85, 29, NA, 10, 17, 22, 25, 27, 14, 28, 23, 26, 34, 15, 82, 87, 32, 34, 54, 87, 62, 21, 12, 10, 10, 10, NA, 18, 52, 32, 82, 62, 34, 37, 52, 43, 91, 140, 14, 15, 15, 13, 12, 25, 28, 14, NA, 102, 42, 22, 58, 12, 25, 11, 33, 20, 26, 98, 39, 165, 96, 61, 619, 62, 19, 17, 12, 50, NA, 11, 166, 17, 18, 13, 13, NA, 26, NA, 13, 41, 62, NA, 93, 204, NA, 13, NA, 10, 16, 11, 67, 23, 64, 119, 21, 10, 17, 51, NA, 24, 18, 203, 170, 38, 31, 11, 15, 54, 25, 22, 13, 10, 17, 11, 20, 14, 12, 20, 28, 31, 22, 21, 18, 13, 81, 16, 34, 70, 16, 11, 34, 178, 62, NA, 62, 169, 10, NA, 80, 54, 45, NA, 16, 10, 26, 278, 71, 14, 51, 54, 42, 362, 107, 402, 248, 49, 80, 25, 228, 874, 148, 144, 24, 22, 41, 13, 78, 15, 11, NA, 21, 130, 18, 33, 110, 26, NA, 31, 24, 306, NA, 14, NA, 152, 903, 58, 17, 55, 10, 10, 18, 11, 14, 62, 87, 44, 34, 68, 86, 11, 12, 12, 11, 11, 11, 10, 20, 96, 298, 53, 26, 12, 47, 25, 114, 17, 27, 162, 18, 18, 21, 93, 18, 13, 218, 56, 110, 303, 186, 84, 20, 12, 10, 60, 13, 37, 61, 16, 16, 94, 13, 79, NA, 36, 27, 19, 19, 13, 18, NA, 16, 35, 22, 16, 32, 40, 63, 80, 42, 30, 13, 19, 55, 264, 119, 15, 15, 10, 16, 32, NA, 13, 53, 25, 24, 50, 19, 13, NA, 39, 21, 34, NA, 21, 41, 17, 19, 14, 152, 34, 12, 52, 34, 30, 33, 39, 136, 32, 118, 31, NA, 77, NA, 14, 17, 27, 23, 85, 14, 71, 32, 95, 14, 30, 27, 57, 22, 31, 16, 14, 17, 139, 117, NA, 64, 48, 382, 69, NA, 160, NA, 32, 52, 38, 19, 34, 34, 85, 15, 21, 33, 30, 30, 35, 11, 10, 14, 13, 16, 288, 18, 19, NA, NA, 30, 26, NA, NA, 63, NA, NA, 13, 14, 27, 23, 22, 17, 10, NA, 103, 64, NA, 32, 410, 25, 19, 71, 14, 25, 21, 14, NA, 76, 15, 86, 56, 21, 14, 23, 42, 19, NA, 29, 63, 53, 11, 61, 21, 46, 10, 19, 10, 26, 52, 93, 19, 15, 15, 19, 30, 40, 130, 16, 95, 43, 156, 71, 12, 17, 25, 26, 10, 49, 14, 18, 12, 11, 16, 14, 20, 26, 15, 67, 69, 103, 14, 12, 10, 51, 69, 54, 204, NA, 14, 13, 43, 49, 146, 70, 14, 11, 38, 30, 192, 42, 11, 58, 128, NA, NA, 80, 43, 72, 45, 129, 30, 14, NA, 12, 29, 317, 21, NA, 26, NA, 61, 21, 54, NA, NA, 20, NA, 25, 21, 154, 36, 53, 23, 34, 34, 78, 37, 24, 14, 14, NA, NA, NA, 130, 182, 51, 19, 13, 14, 49, 40, 97, 10, 22, 40, 77, 27, 26, 13, 34, NA, 12, 34, 13, 19, 51, 13, 11, 14, 12, 12, 128, 11, 10, 16, 12, 25, 64, 49, 16, 20, 15, 10, 21, 20, 45, 74, 18, 22, 22, 13, 27, 21, 246, 11, 11, 25, 106, 22, 12, 15, 72, 124, 22, 37, 31, 10, 20, 31, 30, 17, 59, 10, 17, 11, 10, NA, 19, 14, 15, 17, 48, NA, NA, 19, 92, 37, 26, 36, 13, 65, 30, 19, 26, 29, 28, 585, 24, 105, 28, 16, 14, 13, 57, 32, 39, 11, 36, 46, 80, 25, 23, 35, 18, 60, 264, 58, 15, 673, 40, 27, 11, 18, 25, 20, 16, 189, 524, 139, 61, 35, 82, 129, 18, 128, 35, 19, 19, 112, 12, 23, 36, 44, 44, NA, 77, 52, 13, 44, 11, 10, 39, 24, 99, 104, NA, NA, 18, 29, 38, NA, 17, NA, NA, 100, 11, 32, NA, 41, 11, 46, 48, 65, 43, 225, 308, 96, 21, 10, 10, 20, 27, 54, 48, 21, 11, 31, 19, 10, 20, 38, 18, 24, 17, 27, 25, 15, 32, 46, 23, 20, 17, 10, ...
#> $ debt_all_stgp_eval_mean       <dbl> 53978, 64609, 48048, 52972, 32510, 52527, 55279, 44245, 66444, 51788, 52339, 52786, 28344, 25015, 37385, 49974, 34072, 32223, 20245, 31687, 52508, 30809, 30170, 26100, 40150, 29428, 53856, 96794, 56283, 38817, 72209, 33689, 43590, 34809, 31765, 40667, 56591, 57391, 26358, 31932, 23490, 46075, 43485, 50853, 38001, 70357, 63243, 35316, 28032, 32904, 39299, 30990, 48873, 31655, 29487, 20844, 33462, 32830, 37975, 47122, 43506, 29514, 29098, 33702, 19019, 33487, 24837, 45178, 40759, 43759, 58934, 44111, 42042, 34239, 28215, 41798, 23136, 19355, 65747, 51292, 29768, 43336, 41572, 31462, 28726, 23979, 25962, 27020, 51690, 16129, 38573, 47318, 45043, 22737, 47387, 23278, 54257, 25746, 26506, 61404, 41183, 39050, 39624, 65016, 41528, 35532, 34053, 30475, 28069, 44328, 39333, 45353, 25311, 30434, 28777, 34397, 36800, 37760, 30900, 39129, 34582, 37293, 23741, 19866, 20387, 27790, 16986, 36851, 34435, 31241, 21685, 30052, 50225, 49278, 56594, 154579, 71742, 36208, 25692, 28555, 33213, 44674, 53633, 40479, 23520, 66760, 57141, 40528, 97975, 62919, 49328, 23992, 32166, 42609, 59237, 35682, 29968, 58403, 45737, 48929, 30072, 43595, 44580, 35222, 20856, 45572, 52120, 26777, 29330, 36018, 30364, 31675, 57931, 44787, 18609, 24948, 31829, 23081, 47921, 39421, 32751, 52313, 83351, 47273, 58273, 45738, 43138, 51035, 29662, 38843, 29014, 36987, 40295, 39247, 36109, 47943, 60440, 36769, 48960, 31545, 29041, 38361, 21574, 21232, 26392, 33676, 28767, 31813, 20943, 33988, 37557, 32054, 58026, 31250, 63473, 54023, 35895, 66004, 31264, 30401, 43747, 42659, 58843, 44161, 39773, 47797, 53052, 45258, 34916, 53552, 38069, 50429, 56461, 49166, 43669, 58472, 39483, 33950, 53331, 24938, 47688, 38274, 66986, 43581, 23192, 32181, 44187, 25941, 64187, 41702, 36376, 20823, 36833, 37716, 35703, 29964, 28339, 44301, 39223, 25360, 35303, 27395, 37899, 37132, 33011, 44968, 38239, 40225, 45982, 46475, 23883, 32528, 31634, 32334, 34112, 29927, 26638, 22618, 35969, 37026, 24581, 41889, 35972, 23637, 38679, 70115, 40297, 37774, 66899, 24434, 37014, 36934, 32887, 28510, 41114, 23993, 63198, 39396, 24866, 51395, 23153, 19879, 24884, 20260, 22691, 27713, 34822, 33967, 38840, 36890, 18829, 32693, 27861, 19651, 21411, 21782, 25491, 38793, 17412, 28095, 28614, 25637, 38161, 28761, 30749, 31507, 75888, 33280, 37631, 50763, 29271, 30403, 23351, 32935, 27687, 24713, 27041, 21543, 20620, 15153, 16432, 24525, 29286, 23010, 19416, 20130, 20875, 27907, 18822, 34423, 27723, 40072, 31090, 18850, 35445, 49884, 29180, 29624, 58099, 106099, 60349, 53684, 50917, 29362, 26858, 29496, 26615, 59019, 54967, 33947, 21128, 53169, 28352, 38315, 24395, 50715, 38723, 30676, 72671, 53157, 69187, 52599, 32374, 49285, 29216, 53093, 64951, 51147, 45105, 25097, 40698, 18867, 47382, 40409, 43910, 27667, 49206, 50008, 40958, 52206, 32191, 24550, 89184, 114212, 26983, 29448, 28554, 48408, 21630, 25266, 63954, 28748, 56305, 42822, 97922, 31863, 25055, 29883, 30439, 29309, 49905, 25553, 43317, 53001, 44637, 43595, 47108, 23053, 25943, 20909, 21066, 24417, 21056, 20815, 31791, 33199, 22225, 46379, 28459, 22336, 23661, 20872, 15596, 28106, 23674, 24505, 35504, 24194, 28024, 32071, 29260, 29764, 29640, 34258, 25362, 44444, 25799, 31861, 29145, 34215, 33115, 33999, 28511, 29233, 38117, 44983, 27659, 31922, 32738, 22621, 28143, 33589, 31918, 30657, 32450, 33890, 21796, 36858, 23963, 47324, 28607, 27309, 25504, 48649, 9341, 36786, 37576, 39082, 30955, 39995, 36201, 77460, 25364, 22613, 20400, 22459, 13451, 40428, 20184, 30574, 28825, 25310, 32363, 33855, 39030, 26662, 35740, 30145, 35694, 26875, 21646, 22973, 23411, 28542, 28745, 32149, 31438, 26065, 25676, 22330, 33678, 28838, 32530, 47283, 30502, 40020, 30262, 29402, 52574, 31064, 29051, 39859, 25981, 51530, 32847, 35326, 25503, 31089, 21836, 24759, 36971, 32754, 33215, 41701, 42726, 25248, 32289, 21394, 23687, 23077, 25875, 20970, 22411, 21203, 34459, 34051, 21499, 31334, 24187, 33733, 21395, 33980, 31165, 28065, 25917, 25448, 33481, 29514, 21211, 42928, 42917, 24996, 37951, 32984, 33475, 28638, 18930, 40489, 31636, 23519, 21311, 38614, 21910, 29809, 20848, 27363, 40801, 25603, 27381, 33344, 31228, 51246, 26338, 29745, 42479, 56926, 39173, 29197, 29045, 42050, 29998, 33635, 32908, 24721, 25983, 22693, 32092, 24080, 30679, 28933, 22670, 35969, 34447, 40011, 25753, 41279, 31275, 40156, 31941, 17481, 39924, 44915, 29270, 30016, 35518, 19374, 29490, 30372, 27426, 37078, 31141, 28090, 37677, 24974, 32443, 27414, 25601, 38019, 19666, 45863, 30387, 25170, 28069, 23095, 30539, 36209, 25934, 31341, 36193, 59992, 48208, 26164, 31024, 25431, 33960, 44818, 20966, 99374, 25915, 49924, 129529, 78722, 46708, 38478, 27816, 34180, 51341, 42223, 43435, 34855, 26919, 93482, 55836, 62196, 75797, 35796, 85381, 53091, 25060, 33781, 32803, 22674, 33268, 36500, 59791, 54627, 50151, 51668, 73569, 106964, 45329, 23882, 52867, 63732, 94907, 27375, 50820, 28816, 69106, 36158, 34287, 33778, 35971, 28600, 35467, 46673, 23245, 41059, 34763, 46782, 30156, 71026, 92329, 33939, 28565, 29333, 32278, 53487, 64615, 121724, 126921, 69244, 90513, 77683, 22861, 23445, 25475, 45103, 34061, 29932, 33909, 117007, 81841, 51406, 97356, 107792, 109026, 107295, 130224, 80518, 36843, 48955, 63360, 33049, 64931, 42056, 35952, 35488, 18725, 26704, 23404, 25673, 71141, 37730, 28494, 44207, 93142, 62516, 44334, 43593, 54388, 68201, 38361, 55850, 34185, 47247, 83567, 56308, 49884, 27688, 20438, 19467, 33306, 35344, 33240, 28981, 18474, 63247, 88381, 99374, 49534, 24276, 44013, 42790, 45212, 74224, 55271, 42491, 41223, 70264, 48004, 30931, 24915, 39957, 50156, 23870, 37147, 73555, 40521, 58153, 35465, 64867, 75372, 67933, 80443, 75396, 103154, 58453, 80442, 37564, 50775, 55336, 84845, 53810, 58136, 53233, 35957, 38886, 42378, 53714, 55910, 56308, 68285, 43432, 33773, 34547, 34853, 34857, 32468, 26785, 28981, 49542, 46681, 26645, 33193, 28202, 28775, 42386, 34952, 30571, 39185, 32301, 45620, 32620, 32310, 31136, 30286, 49153, 34523, 47651, 44438, 29256, 92017, 39166, 40903, 35613, 36996, 29412, 23512, 76481, 61731, 84228, 45746, 35649, 41650, 54189, 38245, 27187, 34545, 57298, 55380, 70920, 341309, 45086, 44119, 53419, 38642, 81461, 66507, 84634, 57050, 85488, 69856, 41374, 44297, 24653, 50082, 40573, 24099, 21450, 41568, 30165, 45371, 66084, 31660, 41659, 32945, 26659, 23146, 22056, 30213, 52523, 14719, 30536, 53974, 37328, 31233, 34489, 32041, 29289, 30647, 30690, 39830, 34114, 35978, 30590, 35862, 53791, 27886, 37704, 33567, 48657, 49147, 61614, 46993, 47191, 50734, 103652, 41345, 92291, 34388, 54026, 83017, 43543, 97866, 53606, 60558, 42790, 36709, 28190, 32202, 39558, 43949, 48679, 26895, 30771, 18587, 32760, 36840, 32329, 30555, 48179, 33923, 38455, 34054, 48144, 49740, 22285, 42566, 52525, 44129, 47328, 32344, 30453, 41782, 53092, 35916, 37353, 43577, 82708, 45602, 49464, 44421, 54418, 83507, 51794, 53025, 45809, 59735, 74679, 64014, 35171, 54257, 36194, 28584, 26463, 29412, 36175, 25697, 31873, 39522, 35174, 40712, 33097, 20948, 29985, 30784, 51350, 30337, 36792, 63866, 63320, 66663, 66316, 27253, 73373, 39725, 52561, 49040, 34220, 66197, 40904, 31639, 31391, 30348, 44295, 30079, 33413, 46964, 32081, 132653, 55015, 119831, 87455, 69808, 47006, 73897, 54145, 67159, 61611, 84293, 66099, 61120, 56163, 52595, 46030, 33724, 45215, 89368, 50527, 59864, 88770, 46526, 56955, 66689, 58322, 84391, 61511, 76604, 67218, 113762, 59528, 70369, 99414, 143268, 50653, 83353, 180900, 113677, 92109, 85168, 119096, 110896, 90863, 47393, 63697, 86192, 45557, 68081, 51413, 79510, 41819, 78942, 55190, 22457, 28175, 29268, 44149, 41696, 54243, 71415, 56610, 79360, 37147, 30563, 28473, 27650, 35980, 63077, 48170, 33984, 80068, 39185, 51149, 61271, 32464, 61719, 41556, 59550, 37502, 51317, 53586, 57360, 57159, 54107, 33509, 43823, 56261, 48566, 40861, 56017, 43941, 45249, 27527, 53085, 34974, 44719, 50131, 45101, 52341, 45864, 46957, 61963, 65249, 27516, 18380, 28782, 36182, 29710, 32294, 41646, 35343, 23278, 28209, 55441, 52606, 24653, 30445, 35634, 37397, 45183, 32775, 24190, 26974, 34427, 23345, 26570, 39945, 21370, 24397, 31300, 21960, 26677, 31890, 33710, 31959, 19081, 42511, 37680, 51502, 35312, 25493, 29298, 40034, 23095, 19777, 53501, 41970, 42076, 38672, 34868, 64883, 43079, 21839, 24531, 43351, 49006, 49578, 51916, 47143, 37862, 76874, 82738, 60714, 66513, 51513, 48459, 91627, 100972, 87687, 34937, 68054, 31723, 81499, 35290, 83967, 54790, 55245, 49239, 66992, 47627, 30283, 74526, 48959, 59387, 52026, 62747, 37554, 31797, 33513, 24400, 63733, 87893, 73749, 32935, 26496, 26619, 29627, 53494, 14861, 33366, 30873, 30503, 47849, 44670, 45715, 50691, 16004, 43638, 36684, 26925, 32652, 36701, 58296, 67528, 43246, 59898, 39846, 45702, 38674, 20612, 31061, 29119, 44009, 27749, 49297, 39818, 34934, 53791, 38925, 28639, 28459, 53187, 25977, 42279, 46410, 32619, 118195, 104849, 43672, 26618, 31877, 20550, 25657, 24587, 28460, 27284, 31639, 37567, 25230, 61307, 38846, 31072, 26998, 28156, 28492, 27385, 25747, 21714, 38848, 26890, 35729, 55586, 45172, 35723, 39956, 50394, 25231, 29937, 35891, 24357, 19443, 22163, 32444, 31836, 50708, 50906, 30353, 26825, 54437, 31060, 19213, 42504, 57075, 33146, 47915, 25647, 28170, 27151, 26901, 55582, 28941, 38593, 38056, 36222, 41517, 53380, 37135, 23286, 40529, 45256, 36246, 28553, 38141, 25128, 39455, 110407, 66125, 50425, 108998, 46402, 32094, 38744, 34352, 33295, 32300, 22852, 32749, 36204, 33300, 39945, 61364, 33430, 66096, 32213, 26086, 20251, 42731, 18451, 22752, 42807, 29521, 22929, 43660, 48283, 52216, 36898, 26219, 29102, 31675, 44613, 19596, 36768, 44050, 30187, 25642, 27388, 34297, 44906, 33550, 24285, 33155, 41043, 23650, 24887, 48052, 59316, 62010, 70739, 34731, 25118, 35458, 36599, 16305, 35214, 32134, 16069, 82955, 100054, 58568, 91466, 81356, 28586, 36188, 13781, 21631, 24420, 26815, 19142, 19817, 29509, 39240, 36143, 32145, 32421, 30355, 22878, 31375, 35826, 35131, 21550, 31582, 31108, 32248, 28086, 26450, 33706, 53329, 211...
#> $ debt_all_stgp_eval_mdn        <dbl> 51568, NA, NA, 53781, NA, NA, 57016, NA, 66196, 50446, 45968, 50311, NA, 24000, 37695, 59450, 35250, 30750, 11651, 34166, NA, 30182, NA, NA, 40848, NA, 41000, 108560, 52673, 30496, 56000, NA, 41000, 30624, 34028, 41000, NA, NA, 20500, 30750, 20004, NA, NA, 48774, 41000, NA, 58158, 32654, 28775, 21000, 30750, 27564, 42892, NA, 29234, NA, NA, 30750, NA, 41000, NA, 27983, 30750, 35889, NA, NA, 20500, NA, NA, 45553, NA, 44145, 46677, 35684, NA, 35750, 20500, NA, NA, NA, 30942, 41000, 43500, 30000, 20500, 16279, 22500, 22850, 41000, NA, 37250, 49000, 41000, 20500, NA, 19800, 56000, 27500, 30750, 67250, 39705, NA, 39581, 62338, 40846, 33110, NA, 32144, NA, NA, NA, NA, 18906, 27277, 27333, 31433, 32800, 32799, 27333, 41000, 35500, 41000, NA, 16500, NA, 24316, NA, 41000, 34250, 27084, NA, 29793, 41000, NA, 51000, 172777, 71000, NA, NA, NA, 30615, NA, 54518, 40345, 17565, NA, NA, 44153, 94368, 56296, 51250, NA, 30750, NA, 58500, 34166, 41000, 56375, 47386, 46125, 23141, NA, 41000, 30750, NA, 46125, 51250, NA, NA, NA, 26831, NA, NA, NA, 15400, NA, NA, 24296, NA, NA, NA, 52984, NA, NA, NA, 54918, NA, 39320, 26760, 34000, NA, 30839, 33301, 34590, NA, 43500, 55368, 32000, 43189, 30598, 30500, NA, 14200, NA, 20500, NA, NA, NA, 20500, 29304, 34041, 22783, 56645, NA, 52349, 48500, 32694, 56365, NA, 24893, 40252, 44800, 60320, 39622, 35865, 39066, NA, 41001, 27005, 50293, 31288, 50982, NA, 48492, 41000, 55500, 35820, 31154, 44700, 20500, 45668, NA, 66277, 43124, 21654, 25254, 41000, NA, NA, NA, 34354, 20500, 32662, 34750, 36557, NA, NA, NA, 39750, NA, 31516, 24450, 40596, 36327, 30750, 35500, 37500, 37000, 43250, 41000, 20500, NA, 29738, 27577, 34897, 26000, 24277, NA, 33422, NA, NA, NA, 36777, NA, 35967, 77153, 43129, 29753, NA, NA, NA, 30547, 37843, NA, 43135, 22420, 61875, 40557, 21503, 60014, 21481, 18500, 24150, NA, NA, 27000, NA, 33605, 45500, 38677, 20500, 32250, NA, 15403, 17522, 21136, 22000, NA, 13882, NA, NA, 23750, NA, 26515, 27050, 31748, 61498, 33286, 40080, NA, NA, 28328, 14090, NA, NA, NA, NA, 21690, NA, NA, NA, NA, 23535, 19876, NA, 21200, 21500, NA, NA, 35190, 25836, 41800, 29769, 20500, 37663, 52652, 29652, 21500, 52250, 117803, NA, NA, 34760, NA, NA, 31646, NA, NA, 53835, 29743, NA, 53072, 21478, NA, NA, 46392, 35295, 24593, 63690, 55784, 62500, 52018, 30891, 46834, NA, NA, 59845, 48853, 46431, NA, 36500, 17984, 49244, 41000, NA, NA, 47434, NA, 41000, NA, 33000, NA, 86529, 113031, 23319, NA, 24301, 47834, NA, 23500, 61500, 27916, 60386, 41000, 84412, 31957, 23917, NA, 30024, NA, 52660, NA, NA, 44467, NA, 38260, NA, NA, NA, 19995, 17832, NA, 23000, NA, NA, NA, NA, NA, NA, NA, NA, NA, 10953, 30500, NA, NA, 38454, 23414, 24000, NA, 31428, 31035, NA, NA, NA, NA, 22500, 35127, 21207, 35750, NA, NA, NA, 31898, 42539, 43700, 20500, NA, NA, 20500, 27332, 37131, NA, 37131, NA, NA, NA, 42000, 19584, NA, 30345, 27500, 28250, 47574, NA, 38078, NA, 40750, 28500, 44439, 30750, 94732, 20500, 20500, 20500, 19000, NA, NA, 20500, 32998, 30214, 25321, NA, 28571, 32841, 26793, 39656, 29238, NA, 26583, 19238, 20500, 21802, 20500, 32340, 31920, NA, NA, NA, NA, NA, 29203, NA, 47685, 30504, 33250, NA, NA, NA, 30000, 20819, 40430, NA, 41000, 30728, 37022, 20500, 26726, 20500, 20923, 39682, NA, 34862, 39682, 41000, 30166, 34166, NA, NA, NA, NA, NA, 17700, NA, NA, NA, 20500, 31366, 22000, 31930, NA, NA, 34520, 26750, 22000, NA, 38218, 28500, 20500, NA, NA, NA, 41000, 35604, 35748, 29510, NA, 41000, NA, 20500, 20500, 39748, NA, 30750, NA, NA, NA, NA, NA, 31000, 29169, NA, NA, NA, NA, NA, NA, NA, 29132, NA, 29500, 38662, NA, NA, 27376, 16426, 30000, 22250, NA, NA, NA, 36926, 36926, NA, NA, 41000, 32345, 38842, 36926, NA, 41000, 41244, 21290, 28492, 31756, NA, NA, 37440, NA, NA, NA, 29744, 39444, NA, NA, NA, NA, NA, 20500, 40020, NA, NA, 27972, NA, NA, 36692, 23401, 30750, NA, 58393, NA, 26500, NA, 23003, NA, NA, NA, 108459, 26967, 41000, NA, 81000, 49992, 39470, 23000, NA, NA, NA, NA, 35583, NA, 101947, 42752, 62510, 72389, 28500, 85246, 52646, NA, NA, 27993, 21112, NA, 35400, NA, 59675, 48100, 53500, 78422, 81118, NA, NA, 48215, 63201, 86864, 25881, 44999, 31331, 52347, NA, NA, 33449, 31166, 27000, 30500, NA, 20500, 41117, NA, 43437, 27666, 69305, 94019, 32500, 30500, 20500, NA, NA, NA, 134604, 134604, NA, 82034, 78548, 20500, 20500, 20500, NA, 32675, 28160, 32699, NA, NA, NA, 101000, 114000, 112250, 94216, 124900, NA, NA, NA, 60216, NA, 47994, 41000, 30500, NA, NA, NA, NA, 26700, NA, 36318, NA, NA, 63876, 61500, 41000, 41000, 53000, 50038, 32750, NA, 33006, NA, 80963, 57000, NA, NA, NA, NA, 36372, 34812, NA, NA, 20500, NA, 75166, 95583, 44077, 20500, 41000, 41000, 41000, 61981, 51548, 41000, NA, NA, 43380, NA, NA, 36670, NA, 20000, 36079, 70510, 40556, NA, NA, 65155, NA, 65733, NA, 72374, 108255, NA, 82450, 39397, NA, NA, NA, NA, NA, 40384, 34166, NA, NA, NA, 54666, 60025, NA, 40500, 28184, 36288, 35780, 33140, NA, 20920, 27832, 51250, 44842, 25920, NA, NA, 27084, 41000, NA, NA, 40500, 35082, 46920, 34416, NA, 34165, 32891, 50348, NA, 50485, 46122, NA, 84798, 40394, 41000, 36288, 36288, NA, NA, 82000, 61500, 89000, 46750, 32551, 41000, 54615, NA, 20500, 30808, 58129, NA, 81007, NA, NA, NA, 41000, 36342, 82276, 56323, 80200, 55350, 91630, 72160, 39908, 35254, 24989, 54872, 41000, NA, NA, 41000, 29551, NA, 51250, 34072, 41000, NA, 24666, NA, 18500, 28129, 52578, 13000, NA, 47567, NA, NA, NA, 34579, 26314, NA, 30750, NA, 36534, 34592, NA, NA, 53604, NA, NA, 29304, 50323, 48958, NA, 50323, 43242, NA, 71500, NA, 97141, 25934, NA, 87795, 31718, 109994, 47808, NA, NA, NA, 20500, 33903, 43556, 47155, 51500, NA, NA, NA, NA, 36738, 26456, 30750, NA, 35732, 38892, 36260, 55000, 49626, NA, 41000, NA, NA, NA, 28000, NA, 41000, 56885, NA, NA, 41030, NA, NA, 53250, NA, 50750, 79060, 44485, NA, NA, 50300, 61500, 49450, 34235, 50930, NA, NA, NA, 30951, 31429, NA, 36726, 38625, 40207, 45664, 31500, NA, NA, 28328, NA, NA, NA, 61397, 63550, NA, NA, 20500, 71500, 42433, NA, NA, NA, 59380, 40313, 26810, 35630, NA, NA, 30500, 41000, 41000, NA, 142539, 45500, 125290, 88590, 66984, 35987, 52500, 41000, 68570, NA, 89809, 69545, 63989, 50131, NA, 40750, 27911, 47595, NA, NA, 61763, 100757, 53350, NA, 63945, NA, 91437, 61936, 70712, 74115, 118698, 58578, 56250, 105547, 146535, 41000, 86500, 198810, 113188, 71750, 85254, 131635, 140524, 79041, 47394, 56496, NA, NA, NA, 41000, NA, 47394, 76000, 51250, 20500, 34166, NA, 45722, 43252, NA, 72226, 54000, NA, 29978, 28036, 20500, 22366, NA, 48184, NA, NA, NA, 26540, NA, 60613, NA, 52789, 37500, NA, NA, 49294, NA, 59065, 54295, 52152, 27165, 39281, NA, NA, NA, NA, NA, 38727, 25400, 48032, 34620, NA, 46035, NA, 54073, 39681, NA, 71031, NA, NA, NA, 26495, 30750, 30300, NA, NA, NA, 19944, 22901, 50304, 51807, NA, 27500, 33476, NA, 47357, 32518, NA, NA, 30750, 20500, NA, NA, 21360, 23500, 28008, NA, 29898, 30500, 30779, NA, NA, NA, 36020, NA, 34500, 20500, 26934, 40167, NA, NA, NA, 31578, 38435, 37142, NA, 72776, 42500, 20500, NA, 40833, 44500, NA, 52168, 46869, 41000, 64121, 83176, NA, 62401, 47539, 44838, 98486, 118089, NA, NA, 68635, NA, 79000, NA, 86039, NA, 54123, 45352, 58221, 44866, 24601, 67104, 47833, 58251, 36410, 61993, 30500, 32970, 33500, 22430, 65765, 97882, NA, 31136, NA, 25386, 28933, 58146, NA, 38189, 34010, 30770, 43794, 44238, 48152, NA, NA, 41715, 36427, 27333, NA, 43431, 62109, 62450, 43597, NA, 39206, 41000, 30657, 11000, 34478, NA, 49041, 29230, NA, NA, 36954, NA, 39934, NA, 29250, 49844, NA, 36317, NA, NA, 135500, NA, 41000, NA, NA, NA, 20500, 20500, NA, NA, NA, 35000, NA, 64728, 35313, NA, 26750, NA, NA, 26084, NA, NA, 38188, NA, 31642, NA, 41000, 36178, 38753, 41000, 21725, 26500, NA, 20500, NA, 18501, 33276, NA, 50759, NA, NA, 28500, NA, 28477, 19892, 41000, NA, 41000, 41000, NA, 20500, 20500, 24276, 58618, 27775, 39279, 38082, 41000, 35358, NA, 40867, NA, 36500, NA, NA, NA, NA, 20500, 40160, 116680, 65677, 41000, 107736, 46510, 30393, 41000, 32782, NA, NA, 20500, NA, 38500, NA, NA, 65072, NA, 64950, 31134, 20500, 20500, NA, 16374, 18323, NA, NA, NA, 47135, 45953, NA, 36140, NA, NA, 26065, 41000, 19384, NA, NA, NA, NA, NA, 30750, 43767, 30000, NA, 34572, 41000, 25600, NA, 41000, 61500, 61500, 66000, NA, NA, 35107, NA, 12000, NA, 28905, 16460, 66652, 108013, 59098, 82000, 61500, NA, 38000, 16100, 17434, NA, NA, NA, NA, 29986, 41000, NA, 30750, 33190, 27639, 18189, 30957, 35326, 36271, 21132, 29119, 33294, 29274, NA, NA, 30646, 54666, 20500, 35952, 32500, 28108, NA, 34980, 32146, NA, NA, 51250, 56096, 53000, NA, NA, 33938, 49600, 42000, 51250, 51250, 64655, NA, 61546, 56582, NA, NA, 41000, 60489, 61500, NA, 51250, 70556, NA, 63338, 41000, NA, NA, 85000, NA, NA, 41000, NA, 51250, NA, NA, NA, 61500, NA, NA, NA, NA, 52000, 30750, NA, 47049, NA, NA, NA, NA, 51685, 32148, 42386, NA, 36983, 41000, 34615, 47080, 37960, 36000, 62390, 26740, 28042, 74907, 41000, 41000, 78000, 61500, 51500, NA, 30750, 51500, 50100, 43135, NA, 50079, 59383, 52500, 93280, NA, 92513, 68778, 148048, NA, NA, 69032, 90973, 43412, 65500, 41000, 26265, 41000, NA, NA, 59700, 65780, NA, 46459, 42500, NA, 88628, NA, 61500, 66251, 66500, 69150, NA, 68560, NA, 97725, NA, NA, 50335, 76608, 69560, 74603, 71498, 65040, 50568, NA, 113479, 95310, 71562, 59445, 62260, 94835, 37940, 103533, 88398, NA, NA, 79733, 131279, 46979, 82890, NA, 34167, 68334, 24000, 41000, NA, 45001, 41001, 60760, 51250, NA, 60857, 47090, 92250, 51045, 44334, 162073, 102000, 82000, 41000, NA, 33405, 29871, NA, NA, 26710, 37469, 34922, 49801, NA, 30550, NA, NA, NA, NA, NA, 54187, 37422, 44288, 35199, 41000, 49524, 47960, 39274, NA, 32250, 33300, 39801, 14500, 31750, NA, NA, 41000, 39000, NA, NA, 36149, 34560, NA, NA, NA, 48354, 47880, 28441, NA, 47721, 66685, 33750, NA, 31346, 29239, NA, 47401, NA, NA, 25425, 30430, 29650, 40794, NA, NA, NA, 41650, 30750, 29672, 40794, 41000, 40000, 30750, 36799, NA, NA, 20500, 32000, 51250, NA, NA, 22942, 20500, NA, NA, 31415, NA, 41000, NA, 28597, 48250, NA, 28230, 58270, 56556, 33852, NA, N...
#> $ debt_all_stgp_eval_mdn10yrpay <dbl> 529, NA, NA, 552, NA, NA, 585, NA, 680, 518, 472, 517, NA, 246, 387, 610, 362, 316, 120, 351, NA, 310, NA, NA, 419, NA, 421, 1115, 541, 313, 575, NA, 421, 314, 349, 421, NA, NA, 210, 316, 205, NA, NA, 501, 421, NA, 597, 335, 295, 216, 316, 283, 440, NA, 300, NA, NA, 316, NA, 421, NA, 287, 316, 368, NA, NA, 210, NA, NA, 468, NA, 453, 479, 366, NA, 367, 210, NA, NA, NA, 318, 421, 447, 308, 210, 167, 231, 235, 421, NA, 382, 503, 421, 210, NA, 203, 575, 282, 316, 691, 408, NA, 406, 640, 419, 340, NA, 330, NA, NA, NA, NA, 194, 280, 281, 323, 337, 337, 281, 421, 365, 421, NA, 169, NA, 250, NA, 421, 352, 278, NA, 306, 421, NA, 524, 1774, 729, NA, NA, NA, 314, NA, 560, 414, 180, NA, NA, 453, 969, 578, 526, NA, 316, NA, 601, 351, 421, 579, 487, 474, 238, NA, 421, 316, NA, 474, 526, NA, NA, NA, 275, NA, NA, NA, 158, NA, NA, 249, NA, NA, NA, 544, NA, NA, NA, 564, NA, 404, 275, 349, NA, 317, 342, 355, NA, 447, 569, 329, 443, 314, 313, NA, 146, NA, 210, NA, NA, NA, 210, 301, 350, 234, 582, NA, 538, 498, 336, 579, NA, 256, 413, 460, 619, 407, 368, 401, NA, 421, 277, 516, 321, 523, NA, 498, 421, 570, 368, 320, 459, 210, 469, NA, 681, 443, 222, 259, 421, NA, NA, NA, 353, 210, 335, 357, 375, NA, NA, NA, 408, NA, 324, 251, 417, 373, 316, 365, 385, 380, 444, 421, 210, NA, 305, 283, 358, 267, 249, NA, 343, NA, NA, NA, 378, NA, 369, 792, 443, 305, NA, NA, NA, 314, 389, NA, 443, 230, 635, 416, 221, 616, 221, 190, 248, NA, NA, 277, NA, 345, 467, 397, 210, 331, NA, 158, 180, 217, 226, NA, 143, NA, NA, 244, NA, 272, 278, 326, 631, 342, 412, NA, NA, 291, 145, NA, NA, NA, NA, 223, NA, NA, NA, NA, 242, 204, NA, 218, 221, NA, NA, 361, 265, 429, 306, 210, 387, 541, 304, 221, 536, 1210, NA, NA, 357, NA, NA, 325, NA, NA, 553, 305, NA, 545, 221, NA, NA, 476, 362, 253, 654, 573, 642, 534, 317, 481, NA, NA, 614, 502, 477, NA, 375, 185, 506, 421, NA, NA, 487, NA, 421, NA, 339, NA, 888, 1161, 239, NA, 250, 491, NA, 241, 631, 287, 620, 421, 867, 328, 246, NA, 308, NA, 541, NA, NA, 457, NA, 393, NA, NA, NA, 205, 183, NA, 236, NA, NA, NA, NA, NA, NA, NA, NA, NA, 112, 313, NA, NA, 395, 240, 246, NA, 323, 319, NA, NA, NA, NA, 231, 361, 218, 367, NA, NA, NA, 328, 437, 449, 210, NA, NA, 210, 281, 381, NA, 381, NA, NA, NA, 431, 201, NA, 312, 282, 290, 488, NA, 391, NA, 418, 293, 456, 316, 973, 210, 210, 210, 195, NA, NA, 210, 339, 310, 260, NA, 293, 337, 275, 407, 300, NA, 273, 198, 210, 224, 210, 332, 328, NA, NA, NA, NA, NA, 300, NA, 490, 313, 341, NA, NA, NA, 308, 214, 415, NA, 421, 316, 380, 210, 274, 210, 215, 407, NA, 358, 407, 421, 310, 351, NA, NA, NA, NA, NA, 182, NA, NA, NA, 210, 322, 226, 328, NA, NA, 354, 275, 226, NA, 392, 293, 210, NA, NA, NA, 421, 366, 367, 303, NA, 421, NA, 210, 210, 408, NA, 316, NA, NA, NA, NA, NA, 318, 299, NA, NA, NA, NA, NA, NA, NA, 299, NA, 303, 397, NA, NA, 281, 169, 308, 228, NA, NA, NA, 379, 379, NA, NA, 421, 332, 399, 379, NA, 421, 423, 219, 293, 326, NA, NA, 384, NA, NA, NA, 305, 405, NA, NA, NA, NA, NA, 210, 411, NA, NA, 287, NA, NA, 377, 240, 316, NA, 600, NA, 272, NA, 236, NA, NA, NA, 1114, 277, 421, NA, 832, 513, 405, 236, NA, NA, NA, NA, 365, NA, 1047, 439, 642, 743, 293, 875, 541, NA, NA, 287, 217, NA, 363, NA, 613, 494, 549, 805, 833, NA, NA, 495, 649, 892, 266, 462, 322, 537, NA, NA, 343, 320, 277, 313, NA, 210, 422, NA, 446, 284, 712, 965, 334, 313, 210, NA, NA, NA, 1382, 1382, NA, 842, 807, 210, 210, 210, NA, 335, 289, 336, NA, NA, NA, 1037, 1171, 1153, 967, 1282, NA, NA, NA, 618, NA, 493, 421, 313, NA, NA, NA, NA, 274, NA, 373, NA, NA, 656, 631, 421, 421, 544, 514, 336, NA, 339, NA, 831, 585, NA, NA, NA, NA, 373, 357, NA, NA, 210, NA, 772, 981, 453, 210, 421, 421, 421, 636, 529, 421, NA, NA, 445, NA, NA, 377, NA, 205, 370, 724, 416, NA, NA, 669, NA, 675, NA, 743, 1112, NA, 847, 405, NA, NA, NA, NA, NA, 415, 351, NA, NA, NA, 561, 616, NA, 416, 289, 373, 367, 340, NA, 215, 286, 526, 460, 266, NA, NA, 278, 421, NA, NA, 416, 360, 482, 353, NA, 351, 338, 517, NA, 518, 474, NA, 871, 415, 421, 373, 373, NA, NA, 842, 631, 914, 480, 334, 421, 561, NA, 210, 316, 597, NA, 832, NA, NA, NA, 421, 373, 845, 578, 823, 568, 941, 741, 410, 362, 257, 563, 421, NA, NA, 421, 303, NA, 526, 350, 421, NA, 253, NA, 190, 289, 540, 133, NA, 488, NA, NA, NA, 355, 270, NA, 316, NA, 375, 355, NA, NA, 550, NA, NA, 301, 517, 503, NA, 517, 444, NA, 734, NA, 997, 266, NA, 901, 326, 1129, 491, NA, NA, NA, 210, 348, 447, 484, 529, NA, NA, NA, NA, 377, 272, 316, NA, 367, 399, 372, 565, 510, NA, 421, NA, NA, NA, 287, NA, 421, 584, NA, NA, 421, NA, NA, 547, NA, 521, 812, 457, NA, NA, 516, 631, 508, 352, 523, NA, NA, NA, 318, 323, NA, 377, 397, 413, 469, 323, NA, NA, 291, NA, NA, NA, 630, 653, NA, NA, 210, 734, 436, NA, NA, NA, 610, 414, 275, 366, NA, NA, 313, 421, 421, NA, 1464, 467, 1286, 910, 688, 370, 539, 421, 704, NA, 922, 714, 657, 515, NA, 418, 287, 489, NA, NA, 634, 1035, 548, NA, 657, NA, 939, 636, 726, 761, 1219, 601, 578, 1084, 1505, 421, 888, 2041, 1162, 737, 875, 1352, 1443, 812, 487, 580, NA, NA, NA, 421, NA, 487, 780, 526, 210, 351, NA, 469, 444, NA, 742, 554, NA, 308, 288, 210, 230, NA, 495, NA, NA, NA, 273, NA, 622, NA, 542, 385, NA, NA, 506, NA, 606, 557, 535, 279, 403, NA, NA, NA, NA, NA, 398, 261, 493, 355, NA, 473, NA, 555, 407, NA, 729, NA, NA, NA, 272, 316, 311, NA, NA, NA, 205, 235, 517, 532, NA, 282, 344, NA, 486, 334, NA, NA, 316, 210, NA, NA, 219, 241, 288, NA, 307, 313, 316, NA, NA, NA, 370, NA, 354, 210, 277, 412, NA, NA, NA, 324, 395, 381, NA, 747, 436, 210, NA, 419, 457, NA, 536, 481, 421, 658, 854, NA, 641, 488, 460, 1011, 1213, NA, NA, 705, NA, 811, NA, 883, NA, 556, 466, 598, 461, 253, 689, 491, 598, 374, 637, 313, 339, 344, 230, 675, 1005, NA, 320, NA, 261, 297, 597, NA, 392, 349, 316, 450, 454, 494, NA, NA, 428, 374, 281, NA, 446, 638, 641, 448, NA, 403, 421, 315, 113, 354, NA, 504, 300, NA, NA, 379, NA, 410, NA, 300, 512, NA, 373, NA, NA, 1391, NA, 421, NA, NA, NA, 210, 210, NA, NA, NA, 359, NA, 665, 363, NA, 275, NA, NA, 268, NA, NA, 392, NA, 325, NA, 421, 371, 398, 421, 223, 272, NA, 210, NA, 190, 342, NA, 521, NA, NA, 293, NA, 292, 204, 421, NA, 421, 421, NA, 210, 210, 249, 602, 285, 403, 391, 421, 363, NA, 420, NA, 375, NA, NA, NA, NA, 210, 412, 1198, 674, 421, 1106, 478, 312, 421, 337, NA, NA, 210, NA, 395, NA, NA, 668, NA, 667, 320, 210, 210, NA, 168, 188, NA, NA, NA, 484, 472, NA, 371, NA, NA, 268, 421, 199, NA, NA, NA, NA, NA, 316, 449, 308, NA, 355, 421, 263, NA, 421, 631, 631, 678, NA, NA, 360, NA, 123, NA, 297, 169, 684, 1109, 607, 842, 631, NA, 390, 165, 179, NA, NA, NA, NA, 308, 421, NA, 316, 341, 284, 187, 318, 363, 372, 217, 299, 342, 301, NA, NA, 315, 561, 210, 369, 334, 289, NA, 359, 330, NA, NA, 526, 576, 544, NA, NA, 348, 509, 431, 526, 526, 664, NA, 632, 581, NA, NA, 421, 621, 631, NA, 526, 724, NA, 650, 421, NA, NA, 873, NA, NA, 421, NA, 526, NA, NA, NA, 631, NA, NA, NA, NA, 534, 316, NA, 483, NA, NA, NA, NA, 531, 330, 435, NA, 380, 421, 355, 483, 390, 370, 641, 275, 288, 769, 421, 421, 801, 631, 529, NA, 316, 529, 514, 443, NA, 514, 610, 539, 958, NA, 950, 706, 1520, NA, NA, 709, 934, 446, 673, 421, 270, 421, NA, NA, 613, 675, NA, 477, 436, NA, 910, NA, 631, 680, 683, 710, NA, 704, NA, 1003, NA, NA, 517, 787, 714, 766, 734, 668, 519, NA, 1165, 979, 735, 610, 639, 974, 390, 1063, 908, NA, NA, 819, 1348, 482, 851, NA, 351, 702, 246, 421, NA, 462, 421, 624, 526, NA, 625, 484, 947, 524, 455, 1664, 1047, 842, 421, NA, 343, 307, NA, NA, 274, 385, 359, 511, NA, 314, NA, NA, NA, NA, NA, 556, 384, 455, 361, 421, 508, 492, 403, NA, 331, 342, 409, 149, 326, NA, NA, 421, 400, NA, NA, 371, 355, NA, NA, NA, 496, 492, 292, NA, 490, 685, 347, NA, 322, 300, NA, 487, NA, NA, 261, 312, 304, 419, NA, NA, NA, 428, 316, 305, 419, 421, 411, 316, 378, NA, NA, 210, 329, 526, NA, NA, 236, 210, NA, NA, 323, NA, 421, NA, 294, 495, NA, 290, 598, 581, 348, NA, NA, 309, NA, 354, NA, 421, 538, 446, 312, 440, NA, NA, 630, 1032, 472, 417, 773, 549, 510, 631, 388, 368, 369, 440, 435, 480, 316, 500, NA, 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366, 365, NA...
#> $ earn_count_wne_hi_1yr         <dbl> NA, 13, 16, 39, NA, 11, 22, 12, 64, 138, 33, 45, 17, 32, 37, 28, 73, 18, 48, 123, NA, 20, NA, 23, 38, NA, 97, 92, 31, 114, 83, NA, 694, 87, 108, 38, NA, NA, 32, 137, 57, NA, 12, 25, NA, 17, 68, 51, 32, 52, 21, 149, 48, 15, 97, 11, 11, 276, 15, 47, 15, 47, 72, 119, 24, 41, 37, 19, NA, 24, NA, 40, 15, 26, NA, 26, 44, 11, 20, 15, 46, 34, 26, 56, 82, 41, NA, 26, NA, NA, 34, 78, 177, 89, 22, 13, 20, 32, 29, 26, 58, 13, 22, 35, 44, 26, NA, 36, NA, NA, 11, 13, 24, 74, 70, 78, 120, 290, 30, 30, 67, 33, 12, 27, NA, 72, NA, 30, 94, 49, 11, 65, 36, NA, NA, NA, 178, 15, 23, 23, 16, 12, 20, 56, NA, 13, NA, 31, 58, 45, 849, 15, 59, 30, 46, 104, 34, 199, 41, 76, 104, NA, 168, 129, 16, 88, 24, 15, 13, 12, 24, 15, 19, 12, 22, 14, 14, 45, 23, 14, 19, 64, 25, 18, NA, 20, NA, 22, 51, 14, 25, 976, 275, NA, NA, 56, 49, 210, 30, 15, 75, 30, 46, 33, 42, NA, 66, 15, 47, 55, 138, 29, 54, 11, 73, 17, 28, 70, 11, 32, 51, 13, 27, 259, 157, 105, NA, 513, 34, 24, 41, 34, 13, 29, 43, 53, 102, 37, 608, 92, 22, 13, 61, 219, 42, 30, 39, 18, 18, 17, 50, 71, 43, 51, 33, 18, 27, 19, 62, NA, 32, 53, 52, NA, 21, 38, 60, 113, 397, 208, 60, 32, 300, 30, 149, 113, 78, 16, 49, 15, 15, 17, 25, NA, 87, 69, 72, 161, 19, NA, NA, 35, 35, 19, 110, NA, 29, 49, 48, 31, 161, 19, 137, 34, NA, 31, 22, 38, 28, 91, 53, 23, 21, 407, 481, 316, 24, 13, NA, NA, NA, 36, 15, 98, 39, 40, 128, 37, 26, 24, 11, 89, 35, 12, 19, NA, NA, 87, 11, 14, 11, NA, 54, 121, 11, 39, 51, NA, 11, 42, 37, 119, 61, 25, 25, 39, 88, 22, 32, 64, 20, NA, 58, 18, 11, 29, 18, 22, 79, 151, 19, 21, 55, 18, 32, 544, 72, 19, 50, NA, 157, 132, 105, 18, NA, NA, 220, 45, 117, NA, NA, 42, NA, 42, 23, NA, 62, NA, 31, NA, 32, NA, 172, 37, 20, 17, 340, NA, NA, 43, 222, 77, 33, NA, 95, 100, 73, NA, 120, 11, 38, NA, NA, 53, 12, 36, 20, 11, 17, 75, NA, 19, 29, 31, 13, NA, 18, 22, NA, 36, NA, NA, 97, 45, 27, 32, 113, 53, 101, 18, 96, 52, 19, 68, 14, 35, 42, 27, 82, 163, 11, NA, NA, NA, 17, 128, 54, 19, 11, 45, 31, 26, 13, 25, 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162, 46, NA, 34, 378, 14, 52, 26, 25, 22, 76, 19, 11, 33, 25, 23, 15, NA, NA, 53, 24, 34, 15, NA, 18, 49, 21, 27, 16, 12, 48, 16, 155, 44, 43, NA, 101, 39, 76, 30, 38, 36, 26, 67, 45, 68, 54, NA, 60, 80, 65, 53, 14, 68, 81, 82, 11, 59, 257, 129, 38, 21, 45, 192, 116, NA, 16, 289, 37, 274, 307, 34, 19, 45, 21, 13, 24, 110, NA, 159, 106, 26, 174, 20, 29, 37, 27, 89, NA, 26, 22, 34, 14, 22, 137, 51, 131, 39, 266, 27, 17, 19, 488, 418, 66, NA, 66, 20, 90, NA, 149, NA, NA, 37, 60, NA, 42, 12, 25, 24, 61, 20, NA, 48, 21, 32, 38, NA, 64, 37, 52, 107, 261, 170, 56, 252, 76, NA, 21, 208, 33, 18, 149, 20, 47, 82, 35, 105, 18, 11, 18, NA, 46, 27, 67, 57, 186, 28, 97, 89, 44, 22, 77, 143, 75, 78, 18, 14, 19, 55, 31, NA, NA, 451, 326, NA, 21, NA, 14, 20, 44, NA, 45, 53, 48, 21, 21, 76, NA, 39, NA, NA, 25, 24, 30, 62, NA, 16, NA, 38, 104, 171, 144, 299, 187, 16, 30, 17, 13, 141, 277, 25, 31, NA, 125, 25, 13, 12, 58, 24, 34, NA, 41, 82, NA, 28, 42, 42, 58, 15, 19, 42, 23, 16, 15, 46, NA, 23, NA, 77, 64, NA, 42, 34, 55, 37, 81, 18, 84, 655, 52, 39, 64, 65, 51, 19, 32, 46, 19, NA, 53, 41, 34, 17, 46, 29, 55, 113, 59, 31, 48, 15, 27, NA, NA, 27, 66, 13, 27, NA, 72, 51, 379, 13, 23, 19, 16, 35, 14, 42, 21, 29, 36, 20, 85, NA, 21, 48, 36, 105, 63, 28, 12, 11, 13, 21, 42, 25, 60, 36, 124, 73, 46, 30, 74, 42, 161, 158, 20, 29, 38, 35, 24, 40, 36, 23, NA, 82, 15, 37, 50, 13, 30, 18, 43, 22, 38, 117, 40, 238, 98, 87, 799, 146, 23, NA, NA, 26, NA, NA, 162, 22, 14, NA, NA, NA, 20, 42, NA, 32, 65, NA, 52, 192, NA, 23, 13, NA, 12, 24, 39, 19, 44, 70, 21, NA, NA, 51, NA, 33, NA, 192, 211, 30, 39, 12, 13, 71, 34, 23, 26, 15, 14, NA, 22, 13, 16, 18, NA, 37, 18, 27, 48, NA, 109, 21, 44, 71, 19, 11, 23, 211, 61, 37, 136, 138, NA, NA, 64, 50, 49, 11, NA, 14, 28, 247, 63, NA, 44, 32, 57, 346, 104, 413, 256, 39, 81, 23, 204, 824, 171, 144, 33, 16, 33, 16, 71, 46, NA, 35, NA, 157, 27, 33, 107, 21, 25, 24, 34, 231, 49, 23, NA, 129, 895, 54, 18, 69, 11, 11, 19, NA, 26, 89, 92, 46, 51, 87, 127, 13, 27, 13, 24, 12, NA, NA, 16, 87, 138, 37, 44, 17, 28, 37, 81, NA, 43, 154, 18, 20, 21, 99, 20, NA, 245, 50, 108, 393, 287, 87, NA, 16, NA, 70, NA, 39, 44, NA, NA, 90, 20, 55, 18, 28, 46, 28, 19, 15, 18, 26, NA, 33, 21, 17, 35, 24, 55, 90, 39, 28, 21, 23, 34, 272, 87, 14, 12, 14, 33, 27, 50, NA, 33, 36, NA, 56, 26, 13, NA, 26, 16, 25, 37, 25, 47, NA, 15, 12, 201, 30, NA, 88, 42, 39, 26, 42, 70, 25, 121, 39, 15, 61, 12, 17, NA, 33, 20, 94, NA, 36, 25, 74, 15, 68, 49, 28, 30, 35, 25, 14, NA, 149, 131, NA, 61, 97, 359, 124, 148, 197, 22, 22, 29, 28, 53, 42, 27, 187, 25, 40, 30, 32, 65, 79, 20, NA, 11, 20, 20, 322, 16, 19, 126, NA, 15, 16, 125, 49, 82, 59, 13, NA, 15, 39, 57, 34, 35, NA, 36, 124, 65, 69, 38, 366, 18, 22, 82, NA, 17, 19, 14, 33, 56, 39, 104, 51, 21, 14, 24, 48, 19, 19, 67, 61, 132, 14, 52, 23, 56, NA, 18, NA, 22, 60, 91, 22, 17, 12, 15, 34, 32, 89, 20, 108, 61, 245, 114, 27, 16, 24, 27, 22, 64, 19, 45, 15, 12, 32, 12, 20, 34, 28, 82, 60, 124, NA, NA, 11, 82, 50, 60, 248, NA, 22, 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45,...
#> $ earn_mdn_hi_1yr               <dbl> NA, 47666, 52941, 45940, NA, 37208, 36132, 37568, 33535, 38065, 50439, 40737, 34704, 55693, 44418, 36221, 42347, 44468, 46018, 90334, NA, 18154, NA, 45794, 45852, NA, 91274, 99702, 54910, 53537, 66969, NA, 92804, 67202, 59834, 78896, NA, NA, 45980, 93383, 68499, NA, 52107, 49136, NA, 35701, 59124, 52107, 44666, 47630, 35416, 50231, 93646, 25194, 42841, 48667, 41205, 39254, 41789, 57318, 36668, 87973, 48563, 81031, 60106, 85637, 50606, 57318, NA, 47595, NA, 44989, 42682, 36132, NA, 39729, 59576, 49683, 96183, 57318, 46321, 42905, 37568, 44495, 49179, 77213, NA, 38721, NA, NA, 53358, 91363, 107636, 62409, 68219, 44942, 28960, 45529, 42682, 60399, 56189, 46589, 45696, 39909, 43601, 43240, NA, 38721, NA, NA, 52107, 56641, 63600, 59485, 46589, 46620, 52789, 46200, 49588, 36848, 42099, 52464, 53358, 63005, NA, 45102, NA, 68219, 66686, 55964, 46321, 43909, 43240, NA, NA, NA, 97565, 65053, 58447, 63005, 45696, 40089, 35274, 44520, NA, 55964, NA, 57657, 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17, 33,...
#> $ earn_mdn_hi_2yr               <dbl> NA, NA, 50231, 43240, NA, NA, 35594, NA, 34793, 37819, 55036, 43798, 38289, 54154, 44170, 36852, 42682, 45305, 47260, 88820, NA, NA, NA, NA, 44869, NA, 89564, 99737, 53984, 56979, 67324, NA, 95215, 70176, 60920, 84653, NA, NA, 43240, 91017, NA, NA, NA, 50717, NA, NA, 47729, 53108, 45752, 47455, 34420, 47427, 91744, 30771, 41136, NA, 32563, 38981, 37208, 56641, 36668, 90412, 44921, 80004, 62707, 84653, 46673, 63997, NA, 46478, NA, 46087, 39729, NA, NA, 36992, 56641, NA, 70456, NA, 41844, 44021, 34603, 48041, 45249, 70456, NA, NA, NA, NA, 55151, 93520, 114892, 60854, 64791, NA, 32925, 50856, 41992, 59576, 57017, NA, 45696, 39369, 43519, 45500, NA, 39009, NA, NA, NA, 63997, 63997, 61681, 47260, 48510, 53942, 46261, 46380, 37088, 42249, 56157, NA, NA, NA, 45500, NA, 70680, 66461, 54851, NA, 43638, 39585, NA, NA, NA, 99380, 52107, 59124, 71015, 48041, NA, 36668, 43240, 36134, 57318, NA, 56641, 102706, 70232, 96954, 64990, 44885, 55512, 39099, 43387, 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53537, 55286, NA, NA, NA, 48883, NA, 46478, 198307, 87604, 70456, 76460, NA, 49652, 77715, 45383, 49832, 57995, 49929, NA, 64990, 60072, 105392, 106249, 69775, NA, 89859, 43128, NA, NA, 45500, 66653, 54435, 104749, NA, 68363, NA, 48823, 49019, 53358, NA, NA, 52107, 91744, 90348, 70776, 76460, NA, NA, 47930, 42682, 45584, NA, NA, 62012, NA, 57318, 50856, 39741, 61064, NA, 48784, 41565, 98506, 48432, 125015, 112815, 69987, 70044, 76460, NA, 41565, NA, 46762, 42682, 47553, 44189, NA, 58221, NA, 71202, 92829, 73949, 66653, NA, 58582, 54676, 48432, NA, NA, 51899, 44021, 46478, 98974, 52941, 45696, 54032, 48600, 56415, NA, NA, 48849, NA, NA, 50263, NA, 53358, 106421, 64706, 46087, NA, NA, 58522, 62012, NA, 54635, NA, 46478, 43798, 59169, 27947, NA, 22482, 24421, 95473, 111017, 66941, 98213, 147858, NA, 47260, NA, 47930, NA, NA, NA, NA, 30771, NA, 93342, 86424, 50105, 68778, 55693, 52607, 44077, 46321, 56867, 43128, 64493, 39639, NA, NA, 68666, 40737, 79473, 92543, 54697, 52941, 63997, 48823, 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65804, 11149...
#> $ tuit_grad_res                 <dbl> 8130, 8130, 8130, 8130, 8130, 8130, 8130, 8130, 8130, 8130, 8130, 8130, 7588, 7588, 7588, 7588, 7588, 7588, 7588, 7588, 7588, 7588, 7588, 7588, 7588, 7588, 7588, 7588, 7588, 7588, 7588, 7588, 7588, 7588, 7588, 7588, 11700, 11700, 9834, 9834, 9834, 9834, 6174, 6174, 6174, 6174, 6174, 10470, 10470, 10470, 10470, 10470, 10470, 10470, 10470, 10470, 10470, 10470, 10470, 10470, 10470, 10470, 10470, 10470, 10470, 10470, 10470, 6732, 6732, 6732, 6732, 6732, 6732, 6732, 6732, 6732, 6732, 6732, 9072, 9072, 9072, 9072, 9072, 9072, 9072, 9072, 9072, 9072, 9072, 9072, 9072, 9072, 9072, 9072, 9072, 9540, 9540, 9540, 9540, 8904, 8904, 8904, 8904, 8904, 8904, 8904, 8904, 8904, 8904, 8904, 8904, 8904, 8904, 6390, 6390, 6390, 6390, 6390, 6390, 9936, 9936, 9936, 9936, 5598, 5598, 5598, 5598, 5598, 5598, 18530, 18530, 18530, 18530, 18530, 18530, 18530, 18530, 18530, 18530, 7326, 7326, 7326, 7326, 7326, 7326, 7326, 7326, 7326, 7326, 7326, 7326, 7326, 7146, 7146, 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28800, 46272, 4627...
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0, 100, 100, 100, 1956, 1956, 1956, 1956, 1956, 1956, 1956, 1956, 1956, 1956, 1956, 1956, 1956, 1956, 1956, 1956, 1956, 1956, 1956, 1956, 1956, 1956, 1956, 1956, 1956, 1956, 1956, 1956, 1294, 1294, 1294, 1294, 1294, 1294, 1294, 1294, 1857, 1857, 1857, 1857, 1857, 1857, 1857, 1857, 1857, 1190, 1190, 1190, 1190, 1190, 1190, 1190, 1190, 1190, 1190, 1190, 1190, 1190, 1190, 1190, 1190, 1190, 1190, 1190, 1190, 1190, 1190, 250, 250, 250, 250, 250, 250, 250, 2185, 2185, 2185, 2185, 2185, 2185, 2185, 2185, 2185, 2185, 2185, 2185, 2185, 2185, 2185, 2185, 2185, 2185, 2185, 2185, 2185, 2185, 2185, 2185, 2185, 2185, 2185, 2185, 2185, 2185, 2185, 2185, 2185, 2185, 2185, 2185, 2185, 2185, 2185, 2185, 2185, 2185, 2185, 2185, 200, 200, 200, 200, 1859, 1859, 1859, 1859, 1859, 1859, 1859, 1859, 1859, 1859, 1859, 1859, 1859, 1859, 1859, 1859, 1859, 1859, 1859, 1859, 1859, 1859, 1859, 1859, 1859, 1859, 1859, 1859, 1859, 1859, 1859, 1859, 1859, 1859, 1859, 1859, 1859, 1859, 1859, 1859, 1859, 1859, 1967, 1967, 1967, 1967, 1967, 1967, 1967, 1967, 1967, 1967, 1967, 1967, 1967, 1967, 1967, 1967, 1967, 1967, 1967, 1967, 1967, 1967, 1967, 1967, 1967, 1967, 1967, 1967, 1967, 1967, 1967, 1967, 1967, 1967, 1967, 1967, 1967, 1967, 1967, 1967, 1967, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1200, 1200, 1200, 1200, 1200, 1200, 1200, 1200, 1200, 1200, 1016, 1016, 1016, 1016, 1016, 1016, 1016, 1016, 1016, 1016, 1016, 1016, 1016, 1016, 1016, 1016, 1016, 1016, 1016, 1016, 1016, 1016, 1797, 1797, 1797, 1797, 1797, 1797, 1797, 1797, 1797, 1797, 1797, 1797, 1797, 1797, 1797, 1797, 1797, 1797, 1797, 802, 802, 802, 802, 802, 802, 802, 802, 802, 802, 802, 802, 802, 802, 802, 802, 802, 802, 802, 802, 802, 802, 802, 802, 802, 802, 802, 802, 802, 802, 802, 802, 802, 802, 802, 802, 802, 802, 802, 400, 400, 400, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2078, 2078, 2078, 2078, 2078, 2078, 2078, 2078, 2078, 2078, 2078, 2078, 2078, 2078, 2078, 2078, 2078, 2078, 2078, 2078, 2078, 2078, 2078, 2078, 2078, 2078, 2078, 2078, ...
#> $ tuit_grad_nres                <dbl> 16260, 16260, 16260, 16260, 16260, 16260, 16260, 16260, 16260, 16260, 16260, 16260, 17294, 17294, 17294, 17294, 17294, 17294, 17294, 17294, 17294, 17294, 17294, 17294, 17294, 17294, 17294, 17294, 17294, 17294, 17294, 17294, 17294, 17294, 17294, 17294, 11700, 11700, 21830, 21830, 21830, 21830, 12348, 12348, 12348, 12348, 12348, 26950, 26950, 26950, 26950, 26950, 26950, 26950, 26950, 26950, 26950, 26950, 26950, 26950, 26950, 26950, 26950, 26950, 26950, 26950, 26950, 15138, 15138, 15138, 15138, 15138, 15138, 15138, 15138, 15138, 15138, 15138, 27216, 27216, 27216, 27216, 27216, 27216, 27216, 27216, 27216, 27216, 27216, 27216, 27216, 27216, 27216, 27216, 27216, 9540, 9540, 9540, 9540, 17808, 17808, 17808, 17808, 17808, 17808, 17808, 17808, 17808, 17808, 17808, 17808, 17808, 17808, 12780, 12780, 12780, 12780, 12780, 12780, 20592, 20592, 20592, 20592, 11196, 11196, 11196, 11196, 11196, 11196, 18530, 18530, 18530, 18530, 18530, 18530, 18530, 18530, 18530, 18530, 14652, 14652, 14652, 14652, 14652, 14652, 14652, 14652, 14652, 14652, 14652, 14652, 14652, 14292, 14292, 14292, 14292, 14292, 14292, 14292, 14292, 14292, 14292, 14292, 14292, 14292, 14292, 18560, 19954, 19954, 19954, 19954, 19954, 19954, 17233, 17233, 19047, 19047, 19047, 19047, 11700, 11700, 23480, 23480, 23480, 23480, 23480, 23480, 23480, 23480, 23480, 23480, 23480, 23480, 23480, 23480, 23480, 23480, 23480, 23480, 23480, 23480, 23480, 23480, 23480, 23480, 23480, 23480, 23480, 23480, 23480, 23480, 23480, 23480, 23480, 23480, 23480, 23480, 23480, 23480, 23480, 23480, 23480, 23480, 23480, 23480, 23480, 23480, 23480, 23480, 23480, 23480, 23480, 23480, 23480, 23480, 23480, 23480, 23480, 23480, 23480, 23480, 23480, 23480, 23480, 23480, 23480, 23480, 31124, 31124, 31124, 31124, 31124, 31124, 31124, 31124, 31124, 31124, 31124, 31124, 31124, 31124, 31124, 31124, 31124, 31124, 31124, 31124, 31124, 31124, 31124, 31124, 17781, 17781, 17781, 17781, 17781, 17781, 17781, 17781, 17781, 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26896, 26896, 26896, 26896, 26896, 26896, 26896, 26896, 8150, 8150, 8150, 8150, 8150, 8150, 8150, 33246, 33246, 33246, 33246, 33246, 33246, 33246, 33246, 33246, 16722, 16722, 16722, 16722, 16722, 16722, 15936, 14940, 14940, 14940, 14940, 14940, 14940, 14940, 14940, 14940, 17550, 17550, 17550, 17550, 17550, 17550, 17550, 17550, 17550, 17532, 17532, 17532, 17532, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 23580, 23580, 23580, 13320, 13320, 13320, 13320, 13320, 13320, 13320, 13320, 12888, 12888, 12888, 11280, 11280, 19755, 19755, 19755, 19755, 19755, 19755, 19755, 19755, 19755, 19755, 19755, 19755, 19755, 19755, 19755, 19755, 32504, 32504, 32504, 32504, 32504, 32504, 32504, 10452, 10452, 10452, 10452, 10452, 10452, 10452, 10452, 11232, 11232, 11232, 11232, 11232, 11232, 11232, 11232, 11232, 11232, 11232, 11232, 11232, 11232, 11232, 11232, 11232, 11232, 11232, 11232, 11232, 11232, 11232, 11232, 11232, 11232, 11232, 11232, 11232, 11232, 11232, 11232, 11232, 11232, 15696, 15696, 15696, 15696, 15696, 16713, 16713, 16713, 16713, 44068, 44068, 44068, 44068, 44068, 44068, 44068, 31300, 31300, 31300, 31300, 31300, 31300, 31300, 31300, 31300, 10980, 10980, 10980, 10980, 10980, 20100, 20100, 20100, 20100, 20100, 20100, 20100, 20100, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 25470, 25470, 25470, 25470, 25470, 25470, 25470, 25470, 25470, 25470, 25470, 25470, 25470, 25470, 25470, 25470, 25470, 25470, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 23310, 23310, 23310, 23310, 23310, 23310, 23310, 23310, 23310, 23310, 23310, 23310, 23310, 23310, 23310, 23310, 23310, 23310, 23310, 23310, 23310, 23310, 23310, 23310, 23310, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 27594, 27594, 27594, 27594, 27594, 27594, 27594, 12400, 36657, 36657, 36657, 36657, 36657, 36657, 36657, 36657, 36657, 15666, 15666, 15666, 15666, 15666, 15666, 10062, 10062, 41592, 41592, 41592, 41592, 41592, 41592, 41592, 41592, 41592, 41592, 41592, 41592, 41592, 41592, 41592, 41592, 41592, 41592, 41592, 41592, 41592, 41592, 41592, 41592, 41592, 41592, 41592, 41592, 41592, 41592, 41592, 41592, 41592, 41592, 41592, 41592, 41592, 41592, 41592, 41592, 41592, 41592, 41592, 41592, 41592, 41592, 41592, 41592, 41592, 41592, 41592, 41592, 34680, 34680, 10332, 10332, 10332, 10332, 10332, 22374, 22374, 22374, 22374, 22374, 22374, 22374, 22374, 22374, 22374, 22374, 22374, 22374, 22374, 22374, 22374, 22374, 22374, 22374, 22374, 22374, 22374, 22374, 22374, 22374, 22374, 22374, 22374, 22374, 22374, 22374, 22374, 20153, 20153, 20153, 20153, 20153, 20153, 20153, 20153, 20153, 20153, 20153, 28656, 28656, 28656, 28656, 28656, 28656, 28656, 28656, 28656, 28656, 28656, 28656, 28656, 28656, 28656, 28656, 12567, 12567, 12567, 12567, 34020, 34020, 34020, 34020, 34020, 34020, 23604, 23604, 23604, 23604, 23604, 23604, 23604, 23604, 23604, 23604, 23604, 23604, 23604, 23604, 23604, 23604, 23604, 23604, 23604, 23604, 23604, 23604, 23604, 23604, 23604, 23604, 23604, 45288, 45288, 45288, 45288, 45288, 45288, 45288, 45288, 45288, 45288, 45288, 45288, 45288, 45288, 45288, 45288, 45288, 45288, 45288, 45288, 45288, 45288, 45288, 45288, 45288, 45288, 45288, 45288, 45288, 45288, 45288, 45288, 45288, 11873, 11873, 11873, 21890, 21890, 21890, 19068, 19068, 19068, 19068, 19068, 19068, 19068, 19068, 19068, 19068, 19068, 19068, 19068, 19068, 11250, 11250, 11250, 11250, 11250, 11250, 11250, 11250, 11250, 11250, 11250, 11250, 14942, 14942, 14942, 18000, 18000, 18000, 20720, 20720, 20720, 20720, 20720, 14940, 14940, 14940, 14940, 14940, 14940, 14940, 14940, 14940, 18102, 18102, 18102, 18102, 18102, 18102, 18102, 18102, 18102, 18102, 18102, 18102, 18102, 18102, 18102, 18102, 34762, 34762, 34762, 34762, 34762, 34762, 34762, 34762, 34762, 34762, 34762, 34762, 34762, 34762, 18102, 18102, 16632, 16632, 16632, 16632, 16632, 16632, 16632, 12060, 12060, 12060, 12060, 12060, 12060, 12060, 12060, 12060, 12060, 12060, 15660, 15660, 15660, 15660, 15660, 15660, 15660, 15660, 15660, 15660, 17730, 17730, 17730, 17730, 17730, 17730, 17730, 17730, 17730, 17730, 17730, 17730, 17730, 17730, 20745, 20745, 20745, 20745, 20745, 20745, 20745, 20745, 20745, 20745, 20745, 20745, 20745, 20745, 12822, 12822, 12822, 12822, 12822, 12822, 12822, 12822, 12822, 12822, 18102, 18102, 18102, 18102, 18102, 18102, 18102, 18102, 18102, 18102, 18102, 18102, 18102, 18102, 18102, 18102, 18102, 39800, 39800, 39800, 39800, 39800, 39800, 39800, 39800, 39800, 39800, 39800, 39800, 39800, 39800, 39800, 39800, 39800, 11376, 11376, 30960, 30960, 30960, 30960, 30960, 30960, 30960, 30960, 30960, 30960, 8190, 8190, 8190, 8190, 8190, 8190, 8190, 8190, 8190, 8190, 8190, 8190, 8190, 8190, 8190, 8190, 8190, 8190, 8190, 8190, 8190, 8190, 28422, 28422, 28422, 28422, 28422, 28422, 28422, 28422, 2842...
#> $ fee_grad_nres                 <dbl> 1236, 1236, 1236, 1236, 1236, 1236, 1236, 1236, 1236, 1236, 1236, 1236, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1390, 1390, 508, 508, 508, 508, 2284, 2284, 2284, 2284, 2284, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 640, 640, 640, 640, 640, 640, 640, 640, 640, 640, 640, 1624, 1624, 1624, 1624, 1624, 1624, 1624, 1624, 1624, 1624, 1624, 1624, 1624, 1624, 1624, 1624, 1624, 840, 840, 840, 840, 300, 300, 300, 300, 300, 300, 300, 300, 300, 300, 300, 300, 300, 300, 190, 190, 190, 190, 190, 190, 640, 640, 640, 640, 1226, 1226, 1226, 1226, 1226, 1226, 610, 610, 610, 610, 610, 610, 610, 610, 610, 610, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 802, 802, 802, 802, 802, 802, 802, 802, 802, 802, 802, 802, 802, 802, 1455, 1758, 1758, 1758, 1758, 1758, 1758, 1727, 1727, 1743, 1743, 1743, 1743, 410, 410, 696, 696, 696, 696, 696, 696, 696, 696, 696, 696, 696, 696, 696, 696, 696, 696, 696, 696, 696, 696, 696, 696, 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1275, 1275, 1275, 1275, 1275, 1275, 1200, 1200, 1200, 1200, 1200, 1200, 1200, 1200, 1200, 1200, 1200, 1200, 1200, 1200, 1200, 1200, 1200, 1200, 1200, 1200, 1200, 1200, 1200, 1200, 1200, 1200, 1200, 1200, 1200, 1200, 1200, 1200, 1200, 1500, 1500, 1500, 1500, 1500, 1500, 1500, 1500, 1040, 1040, 1040, 1040, 1040, 1040, 1040, 1040, 1500, 1500, 1500, 1500, 1500, 1500, 1500, 1500, 1500, 1500, 1500, 1500, 800, 800, 800, 1152, 1152, 1152, 1152, 1152, 1152, 1152, 1152, 1152, 1152, 1152, 1152, 1152, 1152, 1152, 1152, 1152, 1152, 1152, 1152, 1152, 1152, 1152, 1152, 1152, 1152, 1152, 1152, 1400, 1400, 1400, 1400, 1400, 1400, 1400, 1400, 1138, 1138, 1138, 1138, 1138, 1138, 1138, 1138, 1138, 1320, 1320, 1320, 1320, 1320, 1320, 1320, 1320, 1320, 1320, 1320, 1320, 1320, 1320, 1320, 1320, 1320, 1320, 1320, 1320, 1320, 1320, 1200, 1200, 1200, 1200, 1200, 1200, 1200, 1590, 1590, 1590, 1590, 1590, 1590, 1590, 1590, 1590, 1590, 1590, 1590, 1590, 1590, 1590, 1590, 1590, 1590, 1590, 1590, 1590, 1590, 1590, 1590, 1590, 1590, 1...
#> $ roomboard_off                 <dbl> 8830, 8830, 8830, 8830, 8830, 8830, 8830, 8830, 8830, 8830, 8830, 8830, 11682, 11682, 11682, 11682, 11682, 11682, 11682, 11682, 11682, 11682, 11682, 11682, 11682, 11682, 11682, 11682, 11682, 11682, 11682, 11682, 11682, 11682, 11682, 11682, 9600, 9600, 9603, 9603, 9603, 9603, 7320, 7320, 7320, 7320, 7320, 13050, 13050, 13050, 13050, 13050, 13050, 13050, 13050, 13050, 13050, 13050, 13050, 13050, 13050, 13050, 13050, 13050, 13050, 13050, 13050, 9657, 9657, 9657, 9657, 9657, 9657, 9657, 9657, 9657, 9657, 9657, 12898, 12898, 12898, 12898, 12898, 12898, 12898, 12898, 12898, 12898, 12898, 12898, 12898, 12898, 12898, 12898, 12898, 8000, 8000, 8000, 8000, 9296, 9296, 9296, 9296, 9296, 9296, 9296, 9296, 9296, 9296, 9296, 9296, 9296, 9296, 7122, 7122, 7122, 7122, 7122, 7122, 8980, 8980, 8980, 8980, 7284, 7284, 7284, 7284, 7284, 7284, 9850, 9850, 9850, 9850, 9850, 9850, 9850, 9850, 9850, 9850, 8591, 8591, 8591, 8591, 8591, 8591, 8591, 8591, 8591, 8591, 8591, 8591, 8591, 5815, 5815, 5815, 5815, 5815, 5815, 5815, 5815, 5815, 5815, 5815, 5815, 5815, 5815, 9320, 11728, 11728, 11728, 11728, 11728, 11728, 12080, 12080, 10870, 10870, 10870, 10870, 15060, 15060, 9216, 9216, 9216, 9216, 9216, 9216, 9216, 9216, 9216, 9216, 9216, 9216, 9216, 9216, 9216, 9216, 9216, 9216, 9216, 9216, 9216, 9216, 9216, 9216, 9216, 9216, 9216, 9216, 9216, 9216, 9216, 9216, 9216, 9216, 9216, 9216, 9216, 9216, 9216, 9216, 9216, 9216, 9216, 9216, 9216, 9216, 9216, 9216, 9216, 9216, 9216, 9216, 9216, 9216, 9216, 9216, 9216, 9216, 9216, 9216, 9216, 9216, 9216, 9216, 9216, 9216, 11300, 11300, 11300, 11300, 11300, 11300, 11300, 11300, 11300, 11300, 11300, 11300, 11300, 11300, 11300, 11300, 11300, 11300, 11300, 11300, 11300, 11300, 11300, 11300, 9262, 9262, 9262, 9262, 9262, 9262, 9262, 9262, 9262, 9262, 9262, 9262, 9262, 9262, 9262, 9262, 9262, 5106, 9406, 9406, 9406, 9406, 9406, 9406, 9406, 9406, 9406, 10332, 10332, 10332, 10332, 10332, 10332, 10332, 10332, 10332, 10332, 10332, 10332, 10332, 10332, 8910, 8910, 8910, 8910, 8910, 8910, 8910, 8910, 8910, 8910, 8910, 8910, 8910, 8910, 8910, 8910, 12634, 12634, 12634, 12634, 12634, 12634, 12634, 12634, 12634, 6750, 6750, 7054, 7054, 7054, 7054, 7054, 7054, 7054, 7054, 7054, 7054, 7054, 7054, 7054, 7054, 7054, 6756, 6756, 6756, 6756, 6756, 6756, 6756, 6756, 6756, 6932, 6932, 6932, 6932, 6932, 2500, 2500, 6915, 6915, 6915, 6915, 6915, 12494, 12494, 12494, 12494, 12494, 12494, 12494, 12494, 12494, 12494, 12494, 12494, 12494, 12494, 12494, 12494, 10560, 10560, 10560, 10560, 10560, 10560, 10560, 10560, 10560, 10560, 10560, NA, NA, 12370, 12370, 12370, 12370, 12370, 12370, 12370, 12370, 12370, 12370, 12370, 12370, 12370, 12370, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 12507, 12507, 12507, 12507, 12507, 12507, 12507, 12507, 12507, 12507, 12507, 12507, 12507, 12507, 12507, 13780, 13780, 13780, 13780, 13780, 13780, 10900, 10900, 10900, 10900, 13770, 13770, 13770, 13770, 13770, 13770, 13770, 13770, 13770, 13770, 13770, 13770, 13770, 13770, 13770, 12588, 12588, 12588, 12588, 12588, 12588, 12588, 12588, 12588, 11360, 11360, 11360, 11360, 11360, 11360, 12888, 12888, 12888, 12888, 12888, 12888, 12888, 12888, 12888, 12888, 12888, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 13882, 13882, 13882, 13882, 13882, 13882, 13882, 13882, 13882, 13882, 13882, 13882, 13882, 13882, 13882, 13882, 13882, 13882, 13882, 13882, 13882, 13882, 13882, 13882, 13882, 13882, 13882, 13882, 13882, 13882, 13882, 13884, 13884, 13884, 13884, 13884, 13884, 13884, 13884, 13884, 13884, 13884, 13884, 12910, 12910, 12910, 12910, 12910, 12910, 12910, 12910, 12910, 12910, 12910, 12910, 12910, 12910, 12910, 12910, 12910, 12910, 12910, 12910, 12910, 12910, 12910, 12910, 12910, 12910, 12910, 12910, 13882, 13882, 13882, 13882, 13882, 13882, 13882, 13882, 13882, 13882, 13882, 13882, 13882, 13882, 13882, 13882, 13882, 13882, 13882, 13882, 13882, 13882, 13882, 13882, 13882, 11358, 11358, 11358, 11358, 11358, 11358, 11358, 11358, 11358, 11358, 11358, 11358, 11358, 11358, 11358, 11358, 11358, 11358, 11358, 11358, 11358, 11358, 11358, 11358, 11358, 11358, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 10540, 10540, 10540, 10540, 8606, 8606, 8606, 8606, 8606, 8606, 8606, 8606, 8606, 8606, 9814, 9814, 9814, 9814, 9814, 9814, 9814, 9814, 9814, 9814, 9814, 9814, 9814, 10667, 10667, 10667, 10667, 10667, 10667, 10667, 10667, 10667, 10667, 10667, 10667, 10667, 10667, 10667, 10667, 10667, 10667, 10667, 9008, 9008, 9008, 9008, 10131, 10131, 10131, 10131, 10131, 10131, 10131, 10131, 10131, 10131, 10131, 10131, 10131, 10131, 9855, 10296, 10296, 12268, 12268, 12268, 12268, 12268, 12268, 12268, 12268, 12400, 12400, 12400, 12400, 12400, 12400, 12400, NA, NA, NA, NA, NA, NA, NA, NA, NA, 4968, 4968, 4968, 4968, 4968, 4968, NA, 13293, 13293, 13293, 13293, 13293, 13293, 13293, 13293, 13293, 13200, 13200, 13200, 13200, 13200, 13200, 13200, 13200, 13200, 13500, 13500, 13500, 13500, 12638, 12638, 12638, 12638, 12638, 12638, 12638, 12638, NA, NA, NA, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 12298, 12298, 12298, 12298, 12298, 12298, 12298, 12298, 11104, 11104, 11104, 11104, 11104, 11104, 11104, 11104, 11104, 11104, 11104, 11104, 11104, 11104, 11104, 11104, 11104, 11104, 11104, 11104, 11104, 11104, 11104, 11104, 11104, 11104, 11104, 11104, 11104, 11104, 11104, 11104, 11104, 11104, 12916, 12916, 12916, 12916, 12916, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 14330, 14330, 14330, 14330, 14330, 14330, 14330, 14330, 14330, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 12050, 12050, 12050, 12050, 12050, 12050, 12050, 12050, 12050, 12050, 12050, 12050, 12050, 12050, 12050, 12050, 12050, 12050, 12050, 12050, 12050, 12050, 12050, 12050, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 13882, 13882, 13882, 13882, 13882, 13882, 13882, 13882, 13882, 13882, 13882, 13882, 13882, 13882, 13882, 13882, 13882, 13882, 13882, 13882, 13990, 13990, 13990, 13990, 13990, 13990, 13990, 13990, 13990, 13990, 13990, 13990, 13990, 13990, 13990, 13990, 13990, 13990, 13990, 13990, 13990, 13990, 13990, 13990, 13990, 13882, 13882, 13882, 13882, 13882, 13882, 13882, 13882, 13882, 13882, 13882, 13882, 12492, 12492, 12492, 12492, 12492, 12492, 12492, 11104, 12240, 12240, 12240, 12240, 12240, 12240, 12240, 12240, 12240, 13882, 13882, 13882, 13882, 13882, 13882, 4410, 4410, 14348, 14348, 14348, 14348, 14348, 14348, 14348, 14348, 14348, 14348, 14348, 14348, 14348, 14348, 14348, 14348, 14348, 14348, 14348, 14348, 14348, 14348, 14348, 14348, 14348, 14348, 14348, 14348, 14348, 14348, 14348, 14348, 14348, 14348, 14348, 14348, 14348, 14348, 14348, 14348, 14348, 14348, 14348, 14348, 14348, 14348, 14348, 14348, 14348, 14348, 14348, 14348, 12492, 12492, 9693, 9693, 9693, 9693, 9693, 11205, 11205, 11205, 11205, 11205, 11205, 11205, 11205, 11205, 11205, 11205, 11205, 11205, 11205, 11205, 11205, 11205, 11205, 11205, 11205, 11205, 11205, 11205, 11205, 11205, 11205, 11205, 11205, 11205, 11205, 11205, 11205, 10400, 10400, 10400, 10400, 10400, 10400, 10400, 10400, 10400, 10400, 10400, 11788, 11788, 11788, 11788, 11788, 11788, 11788, 11788, 11788, 11788, 11788, 11788, 11788, 11788, 11788, 11788, 8910, 8910, 8910, 8910, 9072, 9072, 9072, 9072, 9072, 9072, 9693, 9693, 9693, 9693, 9693, 9693, 9693, 9693, 9693, 9693, 9693, 9693, 9693, 9693, 9693, 9693, 9693, 9693, 9693, 9693, 9693, 9693, 9693, 9693, 9693, 9693, 9693, 12021, 12021, 12021, 12021, 12021, 12021, 12021, 12021, 12021, 12021, 12021, 12021, 12021, 12021, 12021, 12021, 12021, 12021, 12021, 12021, 12021, 12021, 12021, 12021, 12021, 12021, 12021, 12021, 12021, 12021, 12021, 12021, 12021, 9694, 9694, 9694, 11656, 11656, 11656, 9692, 9692, 9692, 9692, 9692, 9692, 9692, 9692, 9692, 9692, 9692, 9692, 9692, 9692, 9694, 9694, 9694, 9694, 9694, 9694, 9694, 9694, 9694, 9694, 9694, 9694, 9693, 9693, 9693, 9693, 9693, 9693, 12265, 12265, 12265, 12265, 12265, 8520, 8520, 8520, 8520, 8520, 8520, 8520, 8520, 8520, 10503, 10503, 10503, 10503, 10503, 10503, 10503, 10503, 10503, 10503, 10503, 10503, 10503, 10503, 10503, 10503, 12436, 12436, 12436, 12436, 12436, 12436, 12436, 12436, 12436, 12436, 12436, 12436, 12436, 12436, 9456, 9456, 13860, 13860, 13860, 13860, 13860, 13860, 13860, 11986, 11986, 11986, 11986, 11986, 11986, 11986, 11986, 11986, 11986, 11986, 11468, 11468, 11468, 11468, 11468, 11468, 11468, 11468, 11468, 11468, 13850, 13850, 13850, 13850, 13850, 13850, 13850, 13850, 13850, 13850, 13850, 13850, 13850, 13850, 10462, 10462, 10462, 10462, 10462, 10462, 10462, 10462, 10462, 10462, 10462, 10462, 10462, 10462, 10750, 10750, 10750, 10750, 10750, 10750, 10750, 10750, 10750, 10750, 9698, 9698, 9698, 9698, 9698, 9698, 9698, 9698, 9698, 9698, 9698, 9698, 9698, 9698, 11884, 11884, 11884, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 12303, 12303, 12068, 12068, 12068, 12068, 12068, 12068, 12068, 12068, 12068, 12068, 6000, 6000, 6000, 6000, 6000, 6000, 6000, 6000, 6000, 6000, 6000, 6000, 6000, 6000, 6000, 6000, 6000, 6000, 6000, 6000, 6000, 6000, 15698, 15698, 15698, 15698, 15698, 15698, 15698, 15698, 15698, 15698, 15698, 15698, 15698, 15698, 15698, 15698, 15698, 15698, 15698, 15698, 15698, 15698, 15698, 15698, 15698, 15698, 15698, 15698, 15698, 15698, 15698, 15698, 15698, 15698, 13820, 13820, 13820, 13820, 13820, 13820, 16425, 16425, 16425, 13040, 13040, 13040, 13040, 12500, 12500, 12500, 12500, 12500, 12500, 12500, 12500, 12500, 12500, 12500, 12500, 12500, 12500, 12500, 12500, 12500, 12500, 12500, 12500, 12500, 12500, 1...
#> $ oth_expense_off               <dbl> 3090, 3090, 3090, 3090, 3090, 3090, 3090, 3090, 3090, 3090, 3090, 3090, 4886, 4886, 4886, 4886, 4886, 4886, 4886, 4886, 4886, 4886, 4886, 4886, 4886, 4886, 4886, 4886, 4886, 4886, 4886, 4886, 4886, 4886, 4886, 4886, 1600, 1600, 3578, 3578, 3578, 3578, 4228, 4228, 4228, 4228, 4228, 4116, 4116, 4116, 4116, 4116, 4116, 4116, 4116, 4116, 4116, 4116, 4116, 4116, 4116, 4116, 4116, 4116, 4116, 4116, 4116, 3690, 3690, 3690, 3690, 3690, 3690, 3690, 3690, 3690, 3690, 3690, 5664, 5664, 5664, 5664, 5664, 5664, 5664, 5664, 5664, 5664, 5664, 5664, 5664, 5664, 5664, 5664, 5664, 4700, 4700, 4700, 4700, 7416, 7416, 7416, 7416, 7416, 7416, 7416, 7416, 7416, 7416, 7416, 7416, 7416, 7416, 3006, 3006, 3006, 3006, 3006, 3006, 3180, 3180, 3180, 3180, 2800, 2800, 2800, 2800, 2800, 2800, 5498, 5498, 5498, 5498, 5498, 5498, 5498, 5498, 5498, 5498, 4150, 4150, 4150, 4150, 4150, 4150, 4150, 4150, 4150, 4150, 4150, 4150, 4150, 5227, 5227, 5227, 5227, 5227, 5227, 5227, 5227, 5227, 5227, 5227, 5227, 5227, 5227, 5735, 7568, 7568, 7568, 7568, 7568, 7568, 4250, 4250, 3715, 3715, 3715, 3715, 4160, 4160, 4708, 4708, 4708, 4708, 4708, 4708, 4708, 4708, 4708, 4708, 4708, 4708, 4708, 4708, 4708, 4708, 4708, 4708, 4708, 4708, 4708, 4708, 4708, 4708, 4708, 4708, 4708, 4708, 4708, 4708, 4708, 4708, 4708, 4708, 4708, 4708, 4708, 4708, 4708, 4708, 4708, 4708, 4708, 4708, 4708, 4708, 4708, 4708, 4708, 4708, 4708, 4708, 4708, 4708, 4708, 4708, 4708, 4708, 4708, 4708, 4708, 4708, 4708, 4708, 4708, 4708, 5200, 5200, 5200, 5200, 5200, 5200, 5200, 5200, 5200, 5200, 5200, 5200, 5200, 5200, 5200, 5200, 5200, 5200, 5200, 5200, 5200, 5200, 5200, 5200, 5070, 5070, 5070, 5070, 5070, 5070, 5070, 5070, 5070, 5070, 5070, 5070, 5070, 5070, 5070, 5070, 5070, 1272, 5213, 5213, 5213, 5213, 5213, 5213, 5213, 5213, 5213, 4104, 4104, 4104, 4104, 4104, 4104, 4104, 4104, 4104, 4104, 4104, 4104, 4104, 4104, 5202, 5202, 5202, 5202, 5202, 5202, 5202, 5202, 5202, 5202, 5202, 5202, 5202, 5202, 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13650, 13650, 13650, 13650, 13650, 11219, 11219, 11219, 11219, 11219, 11219, 11219, 11219, 11219, 11219, 11219, 11219, 11219, 11219, 11298, 11298, 11298, 39800, 39800, 39800, 39800, 39800, 39800, 39800, 39800, 39800, 39800, 39800, 39800, 39800, 39800, 39800, 39800, 39800, 5510, 5510, 31752, 31752, 31752, 31752, 31752, 31752, 31752, 31752, 31752, 31752, 8240, 8240, 8240, 8240, 8240, 8240, 8240, 8240, 8240, 8240, 8240, 8240, 8240, 8240, 8240, 8240, 8240, 8240, 8240, 8240, 8240, 8240, 29112, 29112, 29112, 29112, 29112, 29112, 29112, 29112, 29112, 29112, 29112, 29112, 29112, 29112, 29112, 29112, 29112, 29112, 29112, 29112, 29112, 29112, 29112, 29112, 29112, 29112, 29112, 29112, 29112, 29112, 29112, 29112, 29112, 29112, 43450, 43450, 43450, 43450, 43450, 43450, 9158, 9158, 9158, 17626, 17626, 17626, 17626, 28845, 28845, 28845, 28845, 28845, 28845, 28845, 28845, 28845, 28845, 28845, 28845, 28845, 28845, 28845, 28845, 28845, 28845, 28845, 28845, 28845, 28845, 28845, 28845, 28845, 28845, 28845, 28845, 28845, 28845, ...
#> $ tuitfee_grad_nres             <dbl> 17496, 17496, 17496, 17496, 17496, 17496, 17496, 17496, 17496, 17496, 17496, 17496, 17294, 17294, 17294, 17294, 17294, 17294, 17294, 17294, 17294, 17294, 17294, 17294, 17294, 17294, 17294, 17294, 17294, 17294, 17294, 17294, 17294, 17294, 17294, 17294, 13090, 13090, 22338, 22338, 22338, 22338, 14632, 14632, 14632, 14632, 14632, 26950, 26950, 26950, 26950, 26950, 26950, 26950, 26950, 26950, 26950, 26950, 26950, 26950, 26950, 26950, 26950, 26950, 26950, 26950, 26950, 15778, 15778, 15778, 15778, 15778, 15778, 15778, 15778, 15778, 15778, 15778, 28840, 28840, 28840, 28840, 28840, 28840, 28840, 28840, 28840, 28840, 28840, 28840, 28840, 28840, 28840, 28840, 28840, 10380, 10380, 10380, 10380, 18108, 18108, 18108, 18108, 18108, 18108, 18108, 18108, 18108, 18108, 18108, 18108, 18108, 18108, 12970, 12970, 12970, 12970, 12970, 12970, 21232, 21232, 21232, 21232, 12422, 12422, 12422, 12422, 12422, 12422, 19140, 19140, 19140, 19140, 19140, 19140, 19140, 19140, 19140, 19140, 14652, 14652, 14652, 14652, 14652, 14652, 14652, 14652, 14652, 14652, 14652, 14652, 14652, 15094, 15094, 15094, 15094, 15094, 15094, 15094, 15094, 15094, 15094, 15094, 15094, 15094, 15094, 20015, 21712, 21712, 21712, 21712, 21712, 21712, 18960, 18960, 20790, 20790, 20790, 20790, 12110, 12110, 24176, 24176, 24176, 24176, 24176, 24176, 24176, 24176, 24176, 24176, 24176, 24176, 24176, 24176, 24176, 24176, 24176, 24176, 24176, 24176, 24176, 24176, 24176, 24176, 24176, 24176, 24176, 24176, 24176, 24176, 24176, 24176, 24176, 24176, 24176, 24176, 24176, 24176, 24176, 24176, 24176, 24176, 24176, 24176, 24176, 24176, 24176, 24176, 24176, 24176, 24176, 24176, 24176, 24176, 24176, 24176, 24176, 24176, 24176, 24176, 24176, 24176, 24176, 24176, 24176, 24176, 32135, 32135, 32135, 32135, 32135, 32135, 32135, 32135, 32135, 32135, 32135, 32135, 32135, 32135, 32135, 32135, 32135, 32135, 32135, 32135, 32135, 32135, 32135, 32135, 18294, 18294, 18294, 18294, 18294, 18294, 18294, 18294, 18294, 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13407, 13407, 13407, 36172, 36172, 36172, 36172, 36172, 36172, 25692, 25692, 25692, 25692, 25692, 25692, 25692, 25692, 25692, 25692, 25692, 25692, 25692, 25692, 25692, 25692, 25692, 25692, 25692, 25692, 25692, 25692, 25692, 25692, 25692, 25692, 25692, 45591, 45591, 45591, 45591, 45591, 45591, 45591, 45591, 45591, 45591, 45591, 45591, 45591, 45591, 45591, 45591, 45591, 45591, 45591, 45591, 45591, 45591, 45591, 45591, 45591, 45591, 45591, 45591, 45591, 45591, 45591, 45591, 45591, 12946, 12946, 12946, 22560, 22560, 22560, 20738, 20738, 20738, 20738, 20738, 20738, 20738, 20738, 20738, 20738, 20738, 20738, 20738, 20738, 11250, 11250, 11250, 11250, 11250, 11250, 11250, 11250, 11250, 11250, 11250, 11250, 16292, 16292, 16292, 20000, 20000, 20000, 20904, 20904, 20904, 20904, 20904, 17450, 17450, 17450, 17450, 17450, 17450, 17450, 17450, 17450, 23756, 23756, 23756, 23756, 23756, 23756, 23756, 23756, 23756, 23756, 23756, 23756, 23756, 23756, 23756, 23756, 37032, 37032, 37032, 37032, 37032, 37032, 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#> $ coa_grad_res                  <dbl> 22886, 22886, 22886, 22886, 22886, 22886, 22886, 22886, 22886, 22886, 22886, 22886, 25356, 25356, 25356, 25356, 25356, 25356, 25356, 25356, 25356, 25356, 25356, 25356, 25356, 25356, 25356, 25356, 25356, 25356, 25356, 25356, 25356, 25356, 25356, 25356, 25790, 25790, 25211, 25211, 25211, 25211, 21606, 21606, 21606, 21606, 21606, 28836, 28836, 28836, 28836, 28836, 28836, 28836, 28836, 28836, 28836, 28836, 28836, 28836, 28836, 28836, 28836, 28836, 28836, 28836, 28836, 21819, 21819, 21819, 21819, 21819, 21819, 21819, 21819, 21819, 21819, 21819, 30458, 30458, 30458, 30458, 30458, 30458, 30458, 30458, 30458, 30458, 30458, 30458, 30458, 30458, 30458, 30458, 30458, 24880, 24880, 24880, 24880, 27512, 27512, 27512, 27512, 27512, 27512, 27512, 27512, 27512, 27512, 27512, 27512, 27512, 27512, 17908, 17908, 17908, 17908, 17908, 17908, 23756, 23756, 23756, 23756, 18408, 18408, 18408, 18408, 18408, 18408, 35488, 35488, 35488, 35488, 35488, 35488, 35488, 35488, 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36191, 36191, 36191, 36191, 27342, 27342, 27342, 27342, 27342, 27342, 27342, 27342, 27342, 27342, 27342, 27342, 27342, 27342, 27342, 26725, 26725, 26725, 26725, 26725, 26725, 22910, 22910, 22910, 22910, 26095, 26095, 26095, 26095, 26095, 26095, 26095, 26095, 26095, 26095, 26095, 26095, 26095, 26095, 26095, 25287, 25287, 25287, 25287, 25287, 25287, 25287, 25287, 25287, 23936, 23936, 23936, 23936, 23936, 23936, 25211, 25211, 25211, 25211, 25211, 25211, 25211, 25211, 25211, 25211, 25211, 24521, 24521, 24521, 24521, 24521, 24521, 24521, 24521, 24521, 24521, 24521, 24521, 24521, 24521, 26530, 26530, 26530, 26530, 26530, 26530, 26530, 26530, 26530, 26530, 26530, 26530, 26530, 26530, 26530, 26530, 26530, 26530, 26530, 26530, 26530, 26530, 26530, 26530, 26530, 26530, 26530, 26530, 26530, 26530, 26530, 25920, 25920, 25920, 25920, 25920, 25920, 25920, 25920, 25920, 25920, 25920, 25920, 25468, 25468, 25468, 25468, 25468, 25468, 25468, 25468, 25468, 25468, 25468, 25468, 25468, 25468, 25468, 25468, 25468, 25468, 25468, 25468, 25468, 25468, 25468, 25468, 25468, 25468, 25468, 25468, 26353, 26353, 26353, 26353, 26353, 26353, 26353, 26353, 26353, 26353, 26353, 26353, 26353, 26353, 26353, 26353, 26353, 26353, 26353, 26353, 26353, 26353, 26353, 26353, 26353, 22993, 22993, 22993, 22993, 22993, 22993, 22993, 22993, 22993, 22993, 22993, 22993, 22993, 22993, 22993, 22993, 22993, 22993, 22993, 22993, 22993, 22993, 22993, 22993, 22993, 22993, 25108, 25108, 25108, 25108, 25108, 25108, 25108, 25108, 25108, 25108, 25108, 25108, 25108, 25108, 25108, 25108, 25108, 25108, 25108, 25108, 30473, 30473, 30473, 30473, 29109, 29109, 29109, 29109, 29109, 29109, 29109, 29109, 29109, 29109, 30027, 30027, 30027, 30027, 30027, 30027, 30027, 30027, 30027, 30027, 30027, 30027, 30027, 30126, 30126, 30126, 30126, 30126, 30126, 30126, 30126, 30126, 30126, 30126, 30126, 30126, 30126, 30126, 30126, 30126, 30126, 30126, 29379, 29379, 29379, 29379, 30378, 30378, 30378, 30378, 30378, 30378, 30378, 30378, 30378, 30378, 30378, 30378, 30378, 30378, 30640, 31124, 31124, 45134, 45134, 45134, 45134, 45134, 45134, 45134, 45134, 26590, 26590, 26590, 26590, 26590, 26590, 26590, NA, NA, NA, NA, NA, NA, NA, NA, NA, 28066, 28066, 28066, 28066, 28066, 28066, NA, 34366, 34366, 34366, 34366, 34366, 34366, 34366, 34366, 34366, 37365, 37365, 37365, 37365, 37365, 37365, 37365, 37365, 37365, 37616, 37616, 37616, 37616, 25217, 25217, 25217, 25217, 25217, 25217, 25217, 25217, NA, NA, NA, 32041, 32041, 32041, 32041, 32041, 32041, 32041, 32041, 32637, 32637, 32637, 28479, 28479, 38506, 38506, 38506, 38506, 38506, 38506, 38506, 38506, 38506, 38506, 38506, 38506, 38506, 38506, 38506, 38506, 50948, 50948, 50948, 50948, 50948, 50948, 50948, 30167, 30167, 30167, 30167, 30167, 30167, 30167, 30167, 27624, 27624, 27624, 27624, 27624, 27624, 27624, 27624, 27624, 27624, 27624, 27624, 27624, 27624, 27624, 27624, 27624, 27624, 27624, 27624, 27624, 27624, 27624, 27624, 27624, 27624, 27624, 27624, 27624, 27624, 27624, 27624, 27624, 27624, 35450, 35450, 35450, 35450, 35450, 35860, 35860, 35860, 35860, 62889, 62889, 62889, 62889, 62889, 62889, 62889, 49750, 49750, 49750, 49750, 49750, 49750, 49750, 49750, 49750, 29420, 29420, 29420, 29420, 29420, 38695, 38695, 38695, 38695, 38695, 38695, 38695, 38695, 25514, 25514, 25514, 25514, 25514, 25514, 25514, 25514, 25514, 25514, 25514, 25514, 25514, 25514, 25514, 25514, 25514, 25514, 25514, 25514, 25514, 25514, 25514, 25514, 44274, 44274, 44274, 44274, 44274, 44274, 44274, 44274, 44274, 44274, 44274, 44274, 44274, 44274, 44274, 44274, 44274, 44274, 26498, 26498, 26498, 26498, 26498, 26498, 26498, 26498, 26498, 26498, 26498, 26498, 26498, 26498, 26498, 26498, 26498, 26498, 26498, 26498, 42750, 42750, 42750, 42750, 42750, 42750, 42750, 42750, 42750, 42750, 42750, 42750, 42750, 42750, 42750, 42750, 42750, 42750, 42750, 42750, 42750, 42750, 42750, 42750, 42750, 27390, 27390, 27390, 27390, 27390, 27390, 27390, 27390, 27390, 27390, 27390, 27390, 46035, 46035, 46035, 46035, 46035, 46035, 46035, 28988, 53174, 53174, 53174, 53174, 53174, 53174, 53174, 53174, 53174, 27250, 27250, 27250, 27250, 27250, 27250, 20472, 20472, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 53530, 53530, 21154, 21154, 21154, 21154, 21154, 26650, 26650, 26650, 26650, 26650, 26650, 26650, 26650, 26650, 26650, 26650, 26650, 26650, 26650, 26650, 26650, 26650, 26650, 26650, 26650, 26650, 26650, 26650, 26650, 26650, 26650, 26650, 26650, 26650, 26650, 26650, 26650, 26783, 26783, 26783, 26783, 26783, 26783, 26783, 26783, 26783, 26783, 26783, 28492, 28492, 28492, 28492, 28492, 28492, 28492, 28492, 28492, 28492, 28492, 28492, 28492, 28492, 28492, 28492, 24917, 24917, 24917, 24917, 31024, 31024, 31024, 31024, 31024, 31024, 23969, 23969, 23969, 23969, 23969, 23969, 23969, 23969, 23969, 23969, 23969, 23969, 23969, 23969, 23969, 23969, 23969, 23969, 23969, 23969, 23969, 23969, 23969, 23969, 23969, 23969, 23969, 61446, 61446, 61446, 61446, 61446, 61446, 61446, 61446, 61446, 61446, 61446, 61446, 61446, 61446, 61446, 61446, 61446, 61446, 61446, 61446, 61446, 61446, 61446, 61446, 61446, 61446, 61446, 61446, 61446, 61446, 61446, 61446, 61446, 25699, 25699, 25699, 40666, 40666, 40666, 25698, 25698, 25698, 25698, 25698, 25698, 25698, 25698, 25698, 25698, 25698, 25698, 25698, 25698, 26016, 26016, 26016, 26016, 26016, 26016, 26016, 26016, 26016, 26016, 26016, 26016, 21549, 21549, 21549, 33756, 33756, 33756, 40945, 40945, 40945, 40945, 40945, 37678, 37678, 37678, 37678, 37678, 37678, 37678, 37678, 37678, 26430, 26430, 26430, 26430, 26430, 26430, 26430, 26430, 26430, 26430, 26430, 26430, 26430, 26430, 26430, 26430, 31932, 31932, 31932, 31932, 31932, 31932, 31932, 31932, 31932, 31932, 31932, 31932, 31932, 31932, 24734, 24734, 33452, 33452, 33452, 33452, 33452, 33452, 33452, 28334, 28334, 28334, 28334, 28334, 28334, 28334, 28334, 28334, 28334, 28334, 31088, 31088, 31088, 31088, 31088, 31088, 31088, 31088, 31088, 31088, 35600, 35600, 35600, 35600, 35600, 35600, 35600, 35600, 35600, 35600, 35600, 35600, 35600, 35600, 35557, 35557, 35557, 35557, 35557, 35557, 35557, 35557, 35557, 35557, 35557, 35557, 35557, 35557, 28044, 28044, 28044, 28044, 28044, 28044, 28044, 28044, 28044, 28044, 26289, 26289, 26289, 26289, 26289, 26289, 26289, 26289, 26289, 26289, 26289, 26289, 26289, 26289, 27402, 27402, 27402, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 25177, 25177, 46120, 46120, 46120, 46120, 46120, 46120, 46120, 46120, 46120, 46120, 17840, 17840, 17840, 17840, 17840, 17840, 17840, 17840, 17840, 17840, 17840, 17840, 17840, 17840, 17840, 17840, 17840, 17840, 17840, 17840, 17840, 17840, 46531, 46531, 46531, 46531, 46531, 46531, 46531, 46531, 46531, 46531, 4...
#> $ coa_grad_nres                 <dbl> 31016, 31016, 31016, 31016, 31016, 31016, 31016, 31016, 31016, 31016, 31016, 31016, 35062, 35062, 35062, 35062, 35062, 35062, 35062, 35062, 35062, 35062, 35062, 35062, 35062, 35062, 35062, 35062, 35062, 35062, 35062, 35062, 35062, 35062, 35062, 35062, 25790, 25790, 37207, 37207, 37207, 37207, 27780, 27780, 27780, 27780, 27780, 45316, 45316, 45316, 45316, 45316, 45316, 45316, 45316, 45316, 45316, 45316, 45316, 45316, 45316, 45316, 45316, 45316, 45316, 45316, 45316, 30225, 30225, 30225, 30225, 30225, 30225, 30225, 30225, 30225, 30225, 30225, 48602, 48602, 48602, 48602, 48602, 48602, 48602, 48602, 48602, 48602, 48602, 48602, 48602, 48602, 48602, 48602, 48602, 24880, 24880, 24880, 24880, 36416, 36416, 36416, 36416, 36416, 36416, 36416, 36416, 36416, 36416, 36416, 36416, 36416, 36416, 24298, 24298, 24298, 24298, 24298, 24298, 34412, 34412, 34412, 34412, 24006, 24006, 24006, 24006, 24006, 24006, 35488, 35488, 35488, 35488, 35488, 35488, 35488, 35488, 35488, 35488, 28653, 28653, 28653, 28653, 28653, 28653, 28653, 28653, 28653, 28653, 28653, 28653, 28653, 27265, 27265, 27265, 27265, 27265, 27265, 27265, 27265, 27265, 27265, 27265, 27265, 27265, 27265, 36673, 42616, 42616, 42616, 42616, 42616, 42616, 36690, 36690, 36775, 36775, 36775, 36775, 32550, 32550, 39203, 39203, 39203, 39203, 39203, 39203, 39203, 39203, 39203, 39203, 39203, 39203, 39203, 39203, 39203, 39203, 39203, 39203, 39203, 39203, 39203, 39203, 39203, 39203, 39203, 39203, 39203, 39203, 39203, 39203, 39203, 39203, 39203, 39203, 39203, 39203, 39203, 39203, 39203, 39203, 39203, 39203, 39203, 39203, 39203, 39203, 39203, 39203, 39203, 39203, 39203, 39203, 39203, 39203, 39203, 39203, 39203, 39203, 39203, 39203, 39203, 39203, 39203, 39203, 39203, 39203, 49435, 49435, 49435, 49435, 49435, 49435, 49435, 49435, 49435, 49435, 49435, 49435, 49435, 49435, 49435, 49435, 49435, 49435, 49435, 49435, 49435, 49435, 49435, 49435, 33626, 33626, 33626, 33626, 33626, 33626, 33626, 33626, 33626, 33626, 33626, 33626, 33626, 33626, 33626, 33626, 33626, 28048, 35338, 35338, 35338, 35338, 35338, 35338, 35338, 35338, 35338, 35295, 35295, 35295, 35295, 35295, 35295, 35295, 35295, 35295, 35295, 35295, 35295, 35295, 35295, 25793, 25793, 25793, 25793, 25793, 25793, 25793, 25793, 25793, 25793, 25793, 25793, 25793, 25793, 25793, 25793, 29700, 29700, 29700, 29700, 29700, 29700, 29700, 29700, 29700, 23610, 23610, 24200, 24200, 24200, 24200, 24200, 24200, 24200, 24200, 24200, 24200, 24200, 24200, 24200, 24200, 24200, 26548, 26548, 26548, 26548, 26548, 26548, 26548, 26548, 26548, 25068, 25068, 25068, 25068, 25068, 19302, 19302, 23824, 23824, 23824, 23824, 23824, 34888, 34888, 34888, 34888, 34888, 34888, 34888, 34888, 34888, 34888, 34888, 34888, 34888, 34888, 34888, 34888, 25896, 25896, 25896, 25896, 25896, 25896, 25896, 25896, 25896, 25896, 25896, NA, NA, 30458, 30458, 30458, 30458, 30458, 30458, 30458, 30458, 30458, 30458, 30458, 30458, 30458, 30458, 36191, 36191, 36191, 36191, 36191, 36191, 36191, 36191, 36191, 36270, 36270, 36270, 36270, 36270, 36270, 36270, 36270, 36270, 36270, 36270, 36270, 36270, 36270, 36270, 35653, 35653, 35653, 35653, 35653, 35653, 31838, 31838, 31838, 31838, 35023, 35023, 35023, 35023, 35023, 35023, 35023, 35023, 35023, 35023, 35023, 35023, 35023, 35023, 35023, 34215, 34215, 34215, 34215, 34215, 34215, 34215, 34215, 34215, 32864, 32864, 32864, 32864, 32864, 32864, 34139, 34139, 34139, 34139, 34139, 34139, 34139, 34139, 34139, 34139, 34139, 33449, 33449, 33449, 33449, 33449, 33449, 33449, 33449, 33449, 33449, 33449, 33449, 33449, 33449, 35458, 35458, 35458, 35458, 35458, 35458, 35458, 35458, 35458, 35458, 35458, 35458, 35458, 35458, 35458, 35458, 35458, 35458, 35458, 35458, 35458, 35458, 35458, 35458, 35458, 35458, 35458, 35458, 35458, 35458, 35458, 34848, 34848, 34848, 34848, 34848, 34848, 34848, 34848, 34848, 34848, 34848, 34848, 34396, 34396, 34396, 34396, 34396, 34396, 34396, 34396, 34396, 34396, 34396, 34396, 34396, 34396, 34396, 34396, 34396, 34396, 34396, 34396, 34396, 34396, 34396, 34396, 34396, 34396, 34396, 34396, 35281, 35281, 35281, 35281, 35281, 35281, 35281, 35281, 35281, 35281, 35281, 35281, 35281, 35281, 35281, 35281, 35281, 35281, 35281, 35281, 35281, 35281, 35281, 35281, 35281, 31921, 31921, 31921, 31921, 31921, 31921, 31921, 31921, 31921, 31921, 31921, 31921, 31921, 31921, 31921, 31921, 31921, 31921, 31921, 31921, 31921, 31921, 31921, 31921, 31921, 31921, 34036, 34036, 34036, 34036, 34036, 34036, 34036, 34036, 34036, 34036, 34036, 34036, 34036, 34036, 34036, 34036, 34036, 34036, 34036, 34036, 45575, 45575, 45575, 45575, 44211, 44211, 44211, 44211, 44211, 44211, 44211, 44211, 44211, 44211, 45129, 45129, 45129, 45129, 45129, 45129, 45129, 45129, 45129, 45129, 45129, 45129, 45129, 45228, 45228, 45228, 45228, 45228, 45228, 45228, 45228, 45228, 45228, 45228, 45228, 45228, 45228, 45228, 45228, 45228, 45228, 45228, 44481, 44481, 44481, 44481, 45480, 45480, 45480, 45480, 45480, 45480, 45480, 45480, 45480, 45480, 45480, 45480, 45480, 45480, 45742, 46226, 46226, 45134, 45134, 45134, 45134, 45134, 45134, 45134, 45134, 26590, 26590, 26590, 26590, 26590, 26590, 26590, NA, NA, NA, NA, NA, NA, NA, NA, NA, 28066, 28066, 28066, 28066, 28066, 28066, NA, 34366, 34366, 34366, 34366, 34366, 34366, 34366, 34366, 34366, 37365, 37365, 37365, 37365, 37365, 37365, 37365, 37365, 37365, 37616, 37616, 37616, 37616, 34145, 34145, 34145, 34145, 34145, 34145, 34145, 34145, NA, NA, NA, 32041, 32041, 32041, 32041, 32041, 32041, 32041, 32041, 32637, 32637, 32637, 28479, 28479, 38506, 38506, 38506, 38506, 38506, 38506, 38506, 38506, 38506, 38506, 38506, 38506, 38506, 38506, 38506, 38506, 50948, 50948, 50948, 50948, 50948, 50948, 50948, 30167, 30167, 30167, 30167, 30167, 30167, 30167, 30167, 27624, 27624, 27624, 27624, 27624, 27624, 27624, 27624, 27624, 27624, 27624, 27624, 27624, 27624, 27624, 27624, 27624, 27624, 27624, 27624, 27624, 27624, 27624, 27624, 27624, 27624, 27624, 27624, 27624, 27624, 27624, 27624, 27624, 27624, 35450, 35450, 35450, 35450, 35450, 35860, 35860, 35860, 35860, 62889, 62889, 62889, 62889, 62889, 62889, 62889, 49750, 49750, 49750, 49750, 49750, 49750, 49750, 49750, 49750, 29420, 29420, 29420, 29420, 29420, 38695, 38695, 38695, 38695, 38695, 38695, 38695, 38695, 34442, 34442, 34442, 34442, 34442, 34442, 34442, 34442, 34442, 34442, 34442, 34442, 34442, 34442, 34442, 34442, 34442, 34442, 34442, 34442, 34442, 34442, 34442, 34442, 44274, 44274, 44274, 44274, 44274, 44274, 44274, 44274, 44274, 44274, 44274, 44274, 44274, 44274, 44274, 44274, 44274, 44274, 35426, 35426, 35426, 35426, 35426, 35426, 35426, 35426, 35426, 35426, 35426, 35426, 35426, 35426, 35426, 35426, 35426, 35426, 35426, 35426, 42750, 42750, 42750, 42750, 42750, 42750, 42750, 42750, 42750, 42750, 42750, 42750, 42750, 42750, 42750, 42750, 42750, 42750, 42750, 42750, 42750, 42750, 42750, 42750, 42750, 36318, 36318, 36318, 36318, 36318, 36318, 36318, 36318, 36318, 36318, 36318, 36318, 46035, 46035, 46035, 46035, 46035, 46035, 46035, 28988, 53174, 53174, 53174, 53174, 53174, 53174, 53174, 53174, 53174, 36178, 36178, 36178, 36178, 36178, 36178, 20472, 20472, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 59733, 53530, 53530, 27076, 27076, 27076, 27076, 27076, 42310, 42310, 42310, 42310, 42310, 42310, 42310, 42310, 42310, 42310, 42310, 42310, 42310, 42310, 42310, 42310, 42310, 42310, 42310, 42310, 42310, 42310, 42310, 42310, 42310, 42310, 42310, 42310, 42310, 42310, 42310, 42310, 36953, 36953, 36953, 36953, 36953, 36953, 36953, 36953, 36953, 36953, 36953, 46312, 46312, 46312, 46312, 46312, 46312, 46312, 46312, 46312, 46312, 46312, 46312, 46312, 46312, 46312, 46312, 24917, 24917, 24917, 24917, 49354, 49354, 49354, 49354, 49354, 49354, 37945, 37945, 37945, 37945, 37945, 37945, 37945, 37945, 37945, 37945, 37945, 37945, 37945, 37945, 37945, 37945, 37945, 37945, 37945, 37945, 37945, 37945, 37945, 37945, 37945, 37945, 37945, 61446, 61446, 61446, 61446, 61446, 61446, 61446, 61446, 61446, 61446, 61446, 61446, 61446, 61446, 61446, 61446, 61446, 61446, 61446, 61446, 61446, 61446, 61446, 61446, 61446, 61446, 61446, 61446, 61446, 61446, 61446, 61446, 61446, 30004, 30004, 30004, 40666, 40666, 40666, 34992, 34992, 34992, 34992, 34992, 34992, 34992, 34992, 34992, 34992, 34992, 34992, 34992, 34992, 26016, 26016, 26016, 26016, 26016, 26016, 26016, 26016, 26016, 26016, 26016, 26016, 31465, 31465, 31465, 33756, 33756, 33756, 40945, 40945, 40945, 40945, 40945, 37678, 37678, 37678, 37678, 37678, 37678, 37678, 37678, 37678, 39230, 39230, 39230, 39230, 39230, 39230, 39230, 39230, 39230, 39230, 39230, 39230, 39230, 39230, 39230, 39230, 52968, 52968, 52968, 52968, 52968, 52968, 52968, 52968, 52968, 52968, 52968, 52968, 52968, 52968, 37534, 37534, 33452, 33452, 33452, 33452, 33452, 33452, 33452, 28334, 28334, 28334, 28334, 28334, 28334, 28334, 28334, 28334, 28334, 28334, 31088, 31088, 31088, 31088, 31088, 31088, 31088, 31088, 31088, 31088, 35600, 35600, 35600, 35600, 35600, 35600, 35600, 35600, 35600, 35600, 35600, 35600, 35600, 35600, 35557, 35557, 35557, 35557, 35557, 35557, 35557, 35557, 35557, 35557, 35557, 35557, 35557, 35557, 28044, 28044, 28044, 28044, 28044, 28044, 28044, 28044, 28044, 28044, 39089, 39089, 39089, 39089, 39089, 39089, 39089, 39089, 39089, 39089, 39089, 39089, 39089, 39089, 40202, 40202, 40202, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 31393, 31393, 46120, 46120, 46120, 46120, 46120, 46120, 46120, 46120, 46120, 46120, 17840, 17840, 17840, 17840, 17840, 17840, 17840, 17840, 17840, 17840, 17840, 17840, 17840, 17840, 17840, 17840, 17840, 17840, 17840, 17840, 17840, 17840, 46531, 46531, 46531, 46531, 46531, 46531, 46531, 46531, 46531, 46531, 4...

rm(df_ipeds_pop) # comment this line out if you want to keep ipeds data frame
rm(df_scorecard) # comment this line out if you want to keep scorecard data frame

# Investigate analysis data frame `df_score_ipeds`  

  # data structure: variables that uniquely identify obs
    df_score_ipeds %>% group_by(opeid6,cipcode) %>% summarise(n_per_key=n()) %>% ungroup() %>% count(n_per_key)
#> # A tibble: 1 x 2
#>   n_per_key     n
#>       <int> <int>
#> 1         1  9444
  
  # number of observations (universities) for each 4-digit cip code (degree code)
    #df_score_ipeds %>% count(cipcode)
    df_score_ipeds %>% filter(cipcode=='4407') %>% count(cipcode) # social work
#> # A tibble: 1 x 2
#>   cipcode     n
#>   <chr>   <int>
#> 1 4407      257
  
##### create data frame that only contains observations for MAs in social work;     
    #filter(cipcode=='4407')
    
  df_socialwork <- df_score_ipeds %>% 
    filter(cipcode=='4407') %>%
    # remove observations with missing values of cost of attendance (better for teaching concepts)
    filter(!is.na(coa_grad_res))

  df_socialwork %>% glimpse()
#> Rows: 253
#> Columns: 36
#> $ opeid6                        <chr> "001002", "001005", "001051", "001036", "001047", "011462", "001081", "001101", "001108", "001090", "001117", "007993", "001157", "001142", "001146", "001141", "001147", "001137", "001138", "001139", "001140", "001153", "001150", "001315", "001149", "001151", "001154", "001155", "001328", "001350", "001371", "001360", "001417", "001402", "001409", "001406", "001428", "001443", "001466", "003954", "001480", "009635", "001489", "001509", "001526", "001537", "003955", "001544", "001574", "001598", "001590", "001599", "001610", "007279", "001616", "001624", "001634", "001694", "001671", "009145", "001776", "001692", "001710", "001693", "001750", "001664", "001758", "001759", "001813", "001816", "001815", "001811", "001892", "001890", "001889", "001948", "001939", "001949", "001950", "001952", "001959", "001989", "001999", "009275", "001960", "002002", "002006", "002010", "002026", "002029", "002053", "002050", "002054", "002083", "002091", "002128", "002130", "002183", "002188", "002208", "002211", "002189", "002238", "002259", "002260", "002268", "002282", "002325", "002290", "002329", "002330", "002334", "002360", "003969", "002388", "002377", "002343", "002345", "002410", "002424", "002441", "002516", "002518", "002519", "002498", "002506", "002503", "002520", "002536", "002554", "002569", "002568", "002589", "002622", "002616", "002617", "009344", "002629", "002632", "009345", "002657", "002664", "002666", "002707", "002698", "002689", "007022", "002808", "002722", "002744", "002751", "002779", "002785", "002805", "002835", "002836", "002837", "002838", "002882", "010142", "002903", "002906", "002923", "002928", "002905", "002974", "002975", "002976", "002950", "002972", "002984", "002954", "002981", "003005", "003123", "003024", "003125", "003032", "003077", "003090", "003100", "003131", "003078", "003145", "003184", "003194", "003212", "003216", "003316", "003321", "003322", "003296", "003325", "003378", "003326", "003371", "003328", "003313", "003407", "003448", "003456", "003474", "003478", "003487", "003509", "003510", "003518", "003529", "003530", "003522", "003528", "003537", "003545", "003565", "003652", "003598", "003599", "003624", "003615", "003631", "003656", "003658", "003661", "003636", "010115", "003644", "003665", "003670", "003677", "003675", "003696", "003749", "003765", "003732", "003735", "003775", "003790", "003799", "003798", "003810", "003815", "003827", "003899", "003920", "003895", "003896", "003932", "005026", "007108", "011719", "030113", "032603", "032553"
#> $ unitid                        <dbl> 100654, 100724, 100751, 102049, 102368, 102553, 104151, 106245, 106397, 106458, 109785, 110486, 110495, 110510, 110538, 110547, 110556, 110565, 110574, 110583, 110592, 110608, 110617, 110662, 115755, 122409, 122597, 122755, 123961, 126818, 127060, 127565, 129020, 130226, 130314, 130493, 130934, 131450, 132471, 132903, 133650, 133951, 134097, 136215, 137032, 137351, 138354, 138716, 139940, 139959, 140960, 141264, 141574, 141644, 142115, 142461, 143118, 144005, 144740, 145336, 145600, 145813, 146719, 147776, 148496, 148584, 149222, 149231, 151111, 151342, 151360, 151388, 153658, 154095, 154235, 155317, 155335, 156082, 156125, 156213, 156365, 157085, 157289, 157447, 157757, 157951, 159009, 159391, 160630, 160755, 161253, 161457, 161554, 163453, 163851, 164924, 164988, 165024, 167729, 167783, 167899, 168263, 168740, 169798, 169910, 170082, 170806, 170976, 171100, 172644, 172699, 173045, 173920, 174066, 174233, 174783, 174899, 174914, 175856, 176044, 176372, 178396, 178402, 178420, 178721, 179159, 179566, 179867, 180489, 181394, 182281, 182290, 183044, 185262, 185572, 185590, 186201, 186380, 186584, 186876, 188030, 188304, 188429, 190150, 190558, 190594, 190637, 190725, 191241, 192192, 192448, 193584, 193900, 194958, 196060, 196079, 196088, 196097, 196413, 196592, 197708, 197869, 198464, 198543, 199102, 199120, 199139, 199148, 199157, 199193, 199218, 199281, 200004, 200280, 200800, 201645, 201885, 202134, 204024, 204796, 204857, 206084, 206604, 206695, 207500, 208822, 209612, 209807, 211361, 212160, 213349, 213826, 214041, 215062, 216010, 216339, 216764, 216852, 217420, 218663, 218964, 219471, 219602, 220075, 220862, 220978, 221661, 221740, 221759, 221838, 221971, 222178, 223232, 224554, 225511, 227331, 227368, 228431, 228459, 228529, 228769, 228778, 228796, 228875, 229027, 229115, 229814, 230038, 230728, 230764, 231174, 232186, 232937, 233277, 234030, 235097, 236595, 236896, 236948, 237330, 237525, 238032, 240277, 240365, 240444, 240453, 240727, 242635, 243221, 243601, 366711, 409698, 433660
#> $ instnm                        <chr> "Alabama A & M University", "Alabama State University", "The University of Alabama", "Samford University", "Troy University", "University of Alaska Anchorage", "Arizona State University-Tempe", "University of Arkansas at Little Rock", "University of Arkansas", "Arkansas State University-Main Campus", "Azusa Pacific University", "California State University-Bakersfield", "California State University-Stanislaus", "California State University-San Bernardino", "California State University-Chico", "California State University-Dominguez Hills", "California State University-Fresno", "California State University-Fullerton", "California State University-East Bay", "California State University-Long Beach", "California State University-Los Angeles", "California State University-Northridge", "California State University-Sacramento", "University of California-Los Angeles", "Humboldt State University", "San Diego State University", "San Francisco State University", "San Jose State University", "University of Southern California", "Colorado State University-Fort Collins", "University of Denver", "Metropolitan State University of Denver", "University of Connecticut", "Quinnipiac University", "University of Saint Joseph", "Southern Connecticut State University", "Delaware State University", "Gallaudet University", "Barry University", "University of Central Florida", "Florida Agricultural and Mechanical University", "Florida International University", "Florida State University", "Nova Southeastern University", "Saint Leo University", "University of South Florida-Main Campus", "The University of West Florida", "Albany State University", "Georgia State University", "University of Georgia", "Savannah State University", "Valdosta State University", "University of Hawaii at Manoa", "Hawaii Pacific University", "Boise State University", "Northwest Nazarene University", "Aurora University", "Chicago State University", "DePaul University", "Governors State University", "University of Illinois at Chicago", "Illinois State University", "Loyola University Chicago", "Northeastern Illinois University", "Dominican University", "University of St Francis", "Southern Illinois University-Carbondale", "Southern Illinois University-Edwardsville", "Indiana University-Purdue University-Indianapolis", "Indiana University-South Bend", "Indiana University-Northwest", "Indiana University-East", "University of Iowa", "University of Northern Iowa", "Saint Ambrose University", "University of Kansas", "Newman University", "Washburn University", "Wichita State University", "Asbury University", "Campbellsville University", "University of Kentucky", "University of Louisville", "Northern Kentucky University", "Spalding University", "Western Kentucky University", "Grambling State University", "Louisiana State University and Agricultural & Mechanical College", "Southern University at New Orleans", "Tulane University of Louisiana", "University of Maine", "University of New England", "University of Southern Maine", "Morgan State University", "Salisbury University", "Boston College", "Boston University", "Bridgewater State University", "Salem State University", "Simmons University", "Springfield College", "Westfield State University", "Andrews University", "Eastern Michigan University", "Ferris State University", "Grand Valley State University", "Madonna University", "University of Michigan-Ann Arbor", "Michigan State University", "Wayne State University", "Western Michigan University", "Augsburg University", "Minnesota State University-Mankato", "University of Minnesota-Twin Cities", "University of Minnesota-Duluth", "Saint Cloud State University", "The College of Saint Scholastica", "University of St Thomas", "Jackson State University", "Mississippi Valley State University", "University of Southern Mississippi", "University of Missouri-Columbia", "University of Missouri-Kansas City", "University of Missouri-St Louis", "Park University", "Saint Louis University", "Missouri State University-Springfield", "Washington University in St Louis", "The University of Montana", "University of Nebraska at Omaha", "University of Nevada-Las Vegas", "University of Nevada-Reno", "University of New Hampshire-Main Campus", "Kean University", "Monmouth University", "Montclair State University", "Ramapo College of New Jersey", "Rutgers University-New Brunswick", "Seton Hall University", "Stockton University", "New Mexico State University-Main Campus", "Western New Mexico University", "Adelphi University", "Columbia University in the City of New York", "College of Staten Island CUNY", "CUNY Hunter College", "CUNY Lehman College", "Daemen College", "Fordham University", "Keuka College", "Long Island University", "Nazareth College", "New York University", "Roberts Wesleyan College", "SUNY at Albany", "Binghamton University", "University at Buffalo", "Stony Brook University", "Syracuse University", "Touro College", "Yeshiva University", "Appalachian State University", "East Carolina University", "Fayetteville State University", "North Carolina A & T State University", "University of North Carolina at Chapel Hill", "University of North Carolina at Charlotte", "University of North Carolina at Greensboro", "North Carolina Central University", "North Carolina State University at Raleigh", "University of North Carolina Wilmington", "University of North Carolina at Pembroke", "Western Carolina University", "University of North Dakota", "University of Akron Main Campus", "Case Western Reserve University", "University of Cincinnati-Main Campus", "Cleveland State University", "Miami University-Oxford", "Ohio State University-Main Campus", "Ohio University-Main Campus", "University of Toledo", "Wright State University-Main Campus", "Youngstown State University", "University of Oklahoma-Norman Campus", "George Fox University", "Pacific University", "Portland State University", "California University of Pennsylvania", "Edinboro University of Pennsylvania", "Kutztown University of Pennsylvania", "Marywood University", "Millersville University of Pennsylvania", "University of Pennsylvania", "Shippensburg University of Pennsylvania", "Temple University", "West Chester University of Pennsylvania", "Widener University", "Rhode Island College", "University of South Carolina-Columbia", "Winthrop University", "University of South Dakota", "Austin Peay State University", "East Tennessee State University", "University of Memphis", "Middle Tennessee State University", "Southern Adventist University", "The University of Tennessee-Chattanooga", "The University of Tennessee-Knoxville", "Tennessee State University", "Union University", "Abilene Christian University", "Baylor University", "Texas A & M University-Commerce", "University of Houston", "Our Lady of the Lake University", "The University of Texas Rio Grande Valley", "Stephen F Austin State University", "Texas State University", "Tarleton State University", "The University of Texas at Arlington", "The University of Texas at Austin", "The University of Texas at El Paso", "Texas Christian University", "The University of Texas at San Antonio", "Texas Tech University", "West Texas A & M University", "Brigham Young University-Provo", "Utah State University", "University of Utah", "University of Vermont", "George Mason University", "Norfolk State University", "Radford University", "Virginia Commonwealth University", "Eastern Washington University", "Seattle University", "Walla Walla University", "University of Washington-Seattle Campus", "Concord University", "Marshall University", "West Virginia University", "University of Wisconsin-Green Bay", "University of Wisconsin-Oshkosh", "University of Wisconsin-Madison", "University of Wisconsin-Milwaukee", "University of Wyoming", "Inter American University of Puerto Rico-Arecibo", "University of Puerto Rico-Rio Piedras", "Universidad Ana G. Mendez-Gurabo Campus", "California State University-San Marcos", "California State University-Monterey Bay", "Florida Gulf Coast University"
#> $ control                       <dbl+lbl> 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 2, 1, 1, 2, 2, 1, 1, 2, 2, 1, 1, 1, 1, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 2, 2, 1, 2, 1, 1, 1, 2, 1, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 2, 1, 1, 2, 2, 1, 1, 1, 2, 1, 1, 1, 1, 2, 1, 2, 1, 1, 1, 2, 2, 1, 1, 2, 2, 1, 2, 1, 1, 1, 2, 1, 1, 1, 1, 2, 1, 1, 1, 1, 2, 2, 1, 1, 1, 1, 1, 1, 2, 2, 1, 2, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 2, 1, 1, 1, 2, 2, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 1, 1, 1, 1, 2, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 1, 1, 1, 2, 1, 2, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 2, 2, 2, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 2, 1, 1, 1
#> $ ccbasic                       <dbl+lbl> 18, 19, 15, 17, 18, 18, 15, 16, 15, 16, 16, 18, 18, 18, 18, 18, 17, 18, 18, 18, 18, 18, 18, 15, 19, 16, 18, 18, 15, 15, 16, 18, 15, 17, 17, 18, 16, 16, 17, 15, 16, 15, 15, 16, 18, 15, 18, 19, 15, 15, 20, 17, 15, 18, 16, 18, 17, 18, 16, 18, 15, 16, 16, 18, 18, 17, 16, 17, 16, 19, 20, 20, 15, 18, 18, 15, 18, 17, 16, 20, 18, 15, 15, 17, 17, 17, 18, 15, 19, 15, 16, 16, 18, 16, 18, 15, 15, 18, 18, 17, 18, 19, 17, 16, 17, 18, 18, 15, 15, 15, 16, 18, 18, 15, 19, 18, 17, 17, 16, 20, 15, 15, 16, 16, 18, 16, 17, 15, 16, 16, 15, 15, 15, 18, 18, 16, 19, 15, 16, 18, 16, 18, 17, 15, 18, 18, 18, 17, 16, 19, 17, 18, 15, 18, 15, 15, 15, 15, 15, 17, 16, 18, 16, 19, 16, 15, 16, 16, 18, 15, 16, 18, 18, 16, 16, 15, 15, 16, 16, 15, 16, 16, 16, 18, 15, 17, 17, 16, 18, 18, 18, 18, 18, 15, 18, 15, 18, 17, 18, 15, 18, 16, 18, 16, 16, 17, 19, 17, 15, 16, 17, 18, 16, 17, 15, 17, 16, 17, 16, 18, 15, 15, 15, 16, 16, 15, 18, 16, 16, 15, 16, 15, 19, 18, 15, 18, 17, 20, 15, 19, 16, 15, 19, 18, 15, 15, 16, 19, 16, 17, 18, 19, 18
#> $ stabbr                        <chr> "AL", "AL", "AL", "AL", "AL", "AK", "AZ", "AR", "AR", "AR", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CO", "CO", "CO", "CT", "CT", "CT", "CT", "DE", "DC", "FL", "FL", "FL", "FL", "FL", "FL", "FL", "FL", "FL", "GA", "GA", "GA", "GA", "GA", "HI", "HI", "ID", "ID", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IN", "IN", "IN", "IN", "IA", "IA", "IA", "KS", "KS", "KS", "KS", "KY", "KY", "KY", "KY", "KY", "KY", "KY", "LA", "LA", "LA", "LA", "ME", "ME", "ME", "MD", "MD", "MA", "MA", "MA", "MA", "MA", "MA", "MA", "MI", "MI", "MI", "MI", "MI", "MI", "MI", "MI", "MI", "MN", "MN", "MN", "MN", "MN", "MN", "MN", "MS", "MS", "MS", "MO", "MO", "MO", "MO", "MO", "MO", "MO", "MT", "NE", "NV", "NV", "NH", "NJ", "NJ", "NJ", "NJ", "NJ", "NJ", "NJ", "NM", "NM", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NC", "NC", "NC", "NC", "NC", "NC", "NC", "NC", "NC", "NC", "NC", "NC", "ND", "OH", "OH", "OH", "OH", "OH", "OH", "OH", "OH", "OH", "OH", "OK", "OR", "OR", "OR", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "RI", "SC", "SC", "SD", "TN", "TN", "TN", "TN", "TN", "TN", "TN", "TN", "TN", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "UT", "UT", "UT", "VT", "VA", "VA", "VA", "VA", "WA", "WA", "WA", "WA", "WV", "WV", "WV", "WI", "WI", "WI", "WI", "WY", "PR", "PR", "PR", "CA", "CA", "FL"
#> $ region                        <dbl+lbl> 5, 5, 5, 5, 5, 8, 6, 5, 5, 5, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 7, 7, 7, 1, 1, 1, 1, 2, 2, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 8, 8, 7, 7, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 1, 1, 1, 2, 2, 1, 1, 1, 1, 1, 1, 1, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 4, 4, 4, 4, 4, 4, 4, 7, 4, 8, 8, 1, 2, 2, 2, 2, 2, 2, 2, 6, 6, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 4, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 6, 8, 8, 8, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 5, 5, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 7, 7, 7, 1, 5, 5, 5, 5, 8, 8, 8, 8, 5, 5, 5, 3, 3, 3, 3, 7, 9, 9, 9, 8, 8, 5
#> $ city                          <chr> "Normal", "Montgomery", "Tuscaloosa", "Birmingham", "Troy", "Anchorage", "Tempe", "Little Rock", "Fayetteville", "Jonesboro", "Azusa", "Bakersfield", "Turlock", "San Bernardino", "Chico", "Carson", "Fresno", "Fullerton", "Hayward", "Long Beach", "Los Angeles", "Northridge", "Sacramento", "Los Angeles", "Arcata", "San Diego", "San Francisco", "San Jose", "Los Angeles", "Fort Collins", "Denver", "Denver", "Storrs", "Hamden", "West Hartford", "New Haven", "Dover", "Washington", "Miami", "Orlando", "Tallahassee", "Miami", "Tallahassee", "Fort Lauderdale", "Saint Leo", "Tampa", "Pensacola", "Albany", "Atlanta", "Athens", "Savannah", "Valdosta", "Honolulu", "Honolulu", "Boise", "Nampa", "Aurora", "Chicago", "Chicago", "University Park", "Chicago", "Normal", "Chicago", "Chicago", "River Forest", "Joliet", "Carbondale", "Edwardsville", "Indianapolis", "South Bend", "Gary", "Richmond", "Iowa City", "Cedar Falls", "Davenport", "Lawrence", "Wichita", "Topeka", "Wichita", "Wilmore", "Campbellsville", "Lexington", "Louisville", "Highland Heights", "Louisville", "Bowling Green", "Grambling", "Baton Rouge", "New Orleans", "New Orleans", "Orono", "Biddeford", "Portland", "Baltimore", "Salisbury", "Chestnut Hill", "Boston", "Bridgewater", "Salem", "Boston", "Springfield", "Westfield", "Berrien Springs", "Ypsilanti", "Big Rapids", "Allendale", "Livonia", "Ann Arbor", "East Lansing", "Detroit", "Kalamazoo", "Minneapolis", "Mankato", "Minneapolis", "Duluth", "Saint Cloud", "Duluth", "Saint Paul", "Jackson", "Itta Bena", "Hattiesburg", "Columbia", "Kansas City", "Saint Louis", "Parkville", "Saint Louis", "Springfield", "Saint Louis", "Missoula", "Omaha", "Las Vegas", "Reno", "Durham", "Union", "West Long Branch", "Montclair", "Mahwah", "New Brunswick", "South Orange", "Galloway", "Las Cruces", "Silver City", "Garden City", "New York", "Staten Island", "New York", "Bronx", "Amherst", "Bronx", "Keuka Park", "Brookville", "Rochester", "New York", "Rochester", "Albany", "Vestal", "Buffalo", "Stony Brook", "Syracuse", "New York", "New York", "Boone", "Greenville", "Fayetteville", "Greensboro", "Chapel Hill", "Charlotte", "Greensboro", "Durham", "Raleigh", "Wilmington", "Pembroke", "Cullowhee", "Grand Forks", "Akron", "Cleveland", "Cincinnati", "Cleveland", "Oxford", "Columbus", "Athens", "Toledo", "Dayton", "Youngstown", "Norman", "Newberg", "Forest Grove", "Portland", "California", "Edinboro", "Kutztown", "Scranton", "Millersville", "Philadelphia", "Shippensburg", "Philadelphia", "West Chester", "Chester", "Providence", "Columbia", "Rock Hill", "Vermillion", "Clarksville", "Johnson City", "Memphis", "Murfreesboro", "Collegedale", "Chattanooga", "Knoxville", "Nashville", "Jackson", "Abilene", "Waco", "Commerce", "Houston", "San Antonio", "Edinburg", "Nacogdoches", "San Marcos", "Stephenville", "Arlington", "Austin", "El Paso", "Fort Worth", "San Antonio", "Lubbock", "Canyon", "Provo", "Logan", "Salt Lake City", "Burlington", "Fairfax", "Norfolk", "Radford", "Richmond", "Cheney", "Seattle", "College Place", "Seattle", "Athens", "Huntington", "Morgantown", "Green Bay", "Oshkosh", "Madison", "Milwaukee", "Laramie", "Arecibo", "San Juan", "Gurabo", "San Marcos", "Seaside", "Fort Myers"
#> $ locale                        <dbl+lbl> 12, 12, 12, 21, 33, 11, 12, 12, 13, 13, 21, 11, 23, 12, 13, 13, 11, 21, 21, 11, 11, 11, 11, 11, 33, 11, 11, 11, 11, 12, 11, 11, 21, 21, 21, 12, 13, 11, 21, 21, 12, 21, 12, 21, 23, 11, 13, 13, 11, 12, 12, 13, 11, 11, 12, 22, 21, 11, 11, 41, 11, 22, 11, 11, 21, 21, 13, 21, 11, 12, 13, 41, 13, 13, 12, 13, 11, 12, 11, 31, 32, 11, 11, 21, 11, 13, 32, 12, 11, 11, 23, 22, 13, 11, 23, 13, 11, 21, 21, 11, 12, 21, 31, 21, 32, 21, 13, 12, 13, 11, 13, 11, 13, 11, 13, 13, 13, 11, 12, 33, 13, 12, 11, 21, 21, 11, 12, 21, 13, 11, 12, 11, 23, 21, 21, 21, 21, 13, 21, 22, 22, 33, 21, 11, 11, 11, 11, 21, 11, 32, 21, 21, 11, 21, 13, 22, 21, 21, 12, 11, 11, 32, 13, 12, 11, 13, 11, 11, 11, 11, 12, 32, 32, 13, 12, 11, 11, 11, 31, 11, 32, 11, 21, 13, 22, 31, 21, 11, 23, 31, 31, 13, 21, 11, 31, 11, 21, 21, 21, 12, 13, 32, 12, 13, 11, 12, 21, 12, 12, 11, 13, 12, 12, 32, 11, 11, 13, 33, 13, 33, 11, 11, 11, 11, 11, 11, 31, 12, 13, 12, 13, 21, 12, 23, 12, 31, 11, 23, 11, 32, 13, 13, 12, 13, 11, 11, 33, 13, 11, 21, 21, 22, 21
#> $ urban                         <dbl+lbl> 2, 2, 2, 3, 4, 1, 2, 2, 2, 2, 3, 1, 3, 2, 2, 2, 1, 3, 3, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 2, 1, 1, 3, 3, 3, 2, 2, 1, 3, 3, 2, 3, 2, 3, 3, 1, 2, 2, 1, 2, 2, 2, 1, 1, 2, 3, 3, 1, 1, 4, 1, 3, 1, 1, 3, 3, 2, 3, 1, 2, 2, 4, 2, 2, 2, 2, 1, 2, 1, 4, 4, 1, 1, 3, 1, 2, 4, 2, 1, 1, 3, 3, 2, 1, 3, 2, 1, 3, 3, 1, 2, 3, 4, 3, 4, 3, 2, 2, 2, 1, 2, 1, 2, 1, 2, 2, 2, 1, 2, 4, 2, 2, 1, 3, 3, 1, 2, 3, 2, 1, 2, 1, 3, 3, 3, 3, 3, 2, 3, 3, 3, 4, 3, 1, 1, 1, 1, 3, 1, 4, 3, 3, 1, 3, 2, 3, 3, 3, 2, 1, 1, 4, 2, 2, 1, 2, 1, 1, 1, 1, 2, 4, 4, 2, 2, 1, 1, 1, 4, 1, 4, 1, 3, 2, 3, 4, 3, 1, 3, 4, 4, 2, 3, 1, 4, 1, 3, 3, 3, 2, 2, 4, 2, 2, 1, 2, 3, 2, 2, 1, 2, 2, 2, 4, 1, 1, 2, 4, 2, 4, 1, 1, 1, 1, 1, 1, 4, 2, 2, 2, 2, 3, 2, 3, 2, 4, 1, 3, 1, 4, 2, 2, 2, 2, 1, 1, 4, 2, 1, 3, 3, 3, 3
#> $ cipdig2                       <chr> "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44", "44"
#> $ cipcode                       <chr> "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407", "4407"
#> $ cipdesc                       <chr> "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work.", "Social Work."
#> $ credlev                       <dbl+lbl> 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5
#> $ creddesc                      <chr> "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree"
#> $ ipedscount1                   <dbl> 92, 7, 189, 8, 106, 20, NA, 66, 17, 38, 78, 67, 66, 105, 40, 74, 65, 103, 90, 222, 143, 178, 109, 101, 62, 131, 31, 88, 1472, 57, 278, 101, 160, 31, 44, 82, 19, 12, 178, 131, 16, 19, NA, 31, 95, 127, 0, 26, 62, 152, 39, 38, 102, 32, 112, 54, 379, 28, 19, 53, 202, 29, 299, 0, 115, 34, 73, 31, 350, NA, NA, 13, 97, 37, 35, 180, 86, 55, 54, 14, 71, 96, 206, 62, 24, 63, 30, 97, 130, 77, 37, 328, 29, 69, 126, 248, 204, 60, 97, 330, 151, 64, 28, 66, 29, 177, 21, 336, 39, 343, 141, 76, 29, 131, 31, 34, 33, 140, 90, NA, 63, 91, 62, 54, 23, 83, 35, 197, 25, 84, 75, 45, 72, 42, 119, 59, 37, 660, 18, 60, 68, 98, 268, 454, 27, 465, 91, 22, 622, 18, 14, 39, 567, 49, 166, 66, 217, 214, 102, 90, 118, 47, 69, 65, 27, 128, 73, 27, 81, 72, 41, 60, 33, 78, 70, 168, 66, 108, 18, 242, 36, 35, 37, 46, 153, 44, 12, 205, 58, 153, 25, 131, 65, 197, 36, 189, 80, 95, 84, 274, 54, 40, 32, 49, 56, 25, 33, NA, 220, 17, 50, 15, 67, 72, 167, 303, 54, 51, 111, 0, 458, 146, 34, 27, 55, 14, 19, 41, 2, 171, 29, 54, 62, 34, 170, 125, 0, 85, 203, 43, NA, 67, 53, 8, 176, 154, 22, 31, 73, 37, 58, 36, 17
#> $ ipedscount2                   <dbl> 79, 25, 225, 13, 86, 19, NA, 69, 51, 43, 69, 74, 101, 109, 81, 70, 50, 101, 139, 219, 139, 182, 120, 108, 52, 101, 29, 159, 1383, 83, 279, 123, 142, 22, 60, 81, 34, 26, 130, 143, 19, 0, NA, 47, 86, 90, 0, 17, 60, 170, 34, 60, 95, 20, 187, 48, 325, 38, 17, 54, 239, 24, 277, 29, 101, 21, 60, 29, 323, NA, NA, 0, 67, 38, 33, 204, 41, 59, 56, 19, 91, 90, 197, 56, 24, 58, 15, 128, 87, 74, 36, 339, 30, 71, 160, 265, 229, 55, 129, 545, 111, 65, 19, 75, 37, 145, 48, 329, 21, 335, 131, 55, 27, 137, 24, 44, 39, 115, 76, NA, 88, 75, 69, 52, 41, 93, 30, 215, 36, 80, 75, 80, 94, 60, 90, 68, 56, 716, 37, 52, 50, 142, 263, 509, 29, 559, 87, 12, 659, 25, 108, 42, 567, 46, 159, 72, 214, 238, 70, 132, 86, 33, 66, 64, 19, 127, 79, 21, 82, 77, 41, 39, 40, 73, 69, 259, 86, 64, 23, 266, 42, 41, 32, 44, 154, 35, 22, 245, 30, 202, 39, 104, 60, 195, 27, 154, 102, 152, 79, 237, 60, 0, 22, 47, 52, 28, 24, 16, 231, 22, 88, 16, 80, 66, 161, 334, 72, 48, 124, 18, 515, 135, 37, 22, 84, 11, 27, 40, 98, 164, 28, 83, 80, 40, 199, 88, 26, 77, 244, 58, 60, 71, 44, 8, 158, 141, 20, 3, 47, 21, 57, 49, 19
#> $ debt_all_stgp_eval_n          <dbl> 146, NA, 244, 17, 145, 20, 502, 104, 47, 27, 130, 42, 105, 170, 75, 99, 43, 124, 147, 285, 188, 217, 139, 151, 78, 122, 31, 47, 2410, 82, 352, 160, 202, 36, 55, 122, 48, 17, 247, 127, 26, NA, NA, 54, 152, 162, NA, NA, 93, 204, 61, 34, 128, 21, 246, 92, 585, 57, 32, 77, 312, 34, 366, 23, 148, 32, 111, 43, 351, NA, NA, NA, 118, 54, 61, 306, 92, 86, 86, 29, 134, 135, 291, 98, 39, 87, 38, 76, 172, 66, 62, 562, 40, 120, 191, 358, 385, 75, 163, 750, 201, 102, 29, 120, 62, 231, 50, 484, 43, 516, 199, 117, 41, 140, 22, 52, 52, 180, 137, NA, 54, 100, 95, 68, 50, 137, 44, 249, 44, 110, 107, 83, 132, 80, 157, 67, 33, 1059, 50, 89, 70, 57, 362, 648, 37, 646, 144, NA, 985, NA, 151, NA, 675, 80, 252, 104, 320, 368, 133, 185, 107, 57, 79, 52, 25, 169, 102, 39, 149, 110, 45, 77, 57, 106, 102, 337, 109, 143, 32, 379, 65, 62, 53, 72, 226, 67, 29, 349, 65, 292, 36, 177, 94, 242, 48, 287, 61, 201, 120, 358, 87, NA, 30, 73, 89, 44, 43, NA, 234, 34, 121, 15, 90, 104, 236, 562, 110, 81, 162, NA, 705, 171, 44, 27, 102, NA, 15, 40, 58, 254, 36, 82, 130, 58, 254, 166, 22, 136, 381, 74, NA, 95, 65, 10, 132, 145, 18, 23, 53, 44, 87, 58, 19
#> $ debt_all_stgp_eval_mean       <dbl> 51788, 38001, 32830, 49278, 30072, 30364, 45258, 41114, 27713, 30749, 52599, 35504, 29260, 34215, 23963, 30955, 25310, 30502, 41701, 29514, 31228, 40156, 28069, 51668, 35344, 29289, 30555, 31873, 113762, 42076, 68054, 33513, 35729, 66125, 48283, 34297, 36188, 52931, 53125, 38754, 51889, 51313, 45013, 73360, 52571, 36879, 20730, 57667, 39799, 43011, 39736, 54598, 32837, 45826, 30178, 39716, 34247, 62017, 76163, 37720, 41770, 35315, 66401, 24445, 46415, 32551, 34114, 23673, 40289, 36999, 46987, 43838, 47358, 27987, 61776, 37566, 49449, 38559, 33746, 44773, 24545, 41439, 43899, 36260, 32562, 31538, 48845, 38704, 45271, 74833, 43484, 51835, 38680, 39345, 33723, 52959, 53233, 41195, 35397, 74968, 59338, 27629, 60619, 51418, 33175, 44150, 23785, 47297, 52884, 39517, 48476, 40906, 25346, 44435, 45190, 25411, 46643, 51357, 52132, 44738, 41514, 29131, 42930, 34593, 27922, 54328, 37145, 58537, 43902, 34127, 46631, 22823, 50711, 48132, 43835, 31239, 31038, 48412, 60068, 28584, 30185, 40880, 62589, 80957, 29854, 38164, 33472, 33170, 54277, 34934, 76214, 44523, 85772, 38879, 35609, 40935, 38913, 37367, 72816, 60442, 45677, 22968, 38103, 32348, 39727, 55365, 28665, 23703, 44724, 31732, 33050, 33942, 33058, 34532, 36348, 86730, 39054, 44679, 29028, 39874, 24376, 30908, 38900, 43045, 39489, 37261, 61686, 47388, 39681, 43393, 33888, 50849, 35271, 70869, 39569, 54001, 42719, 66833, 33500, 48544, 39780, 28435, 26619, 41749, 41437, 27617, 45462, 24228, 44304, 31382, 42968, 44044, 40243, 25793, 38107, 45506, 19140, 24017, 28853, 21751, 35646, 42070, 29456, 39802, 44463, 25378, 28327, 18361, 29569, 34387, 50788, 42113, 49831, 37717, 47034, 40277, 45996, 45953, 51473, 27310, 30568, 43234, 28902, 20741, 36246, 36433, 31190, 22688, 18903, 33732, 54252, 24378, 26507
#> $ debt_all_stgp_eval_mdn        <dbl> 50446, 41000, 30750, NA, 23141, 26831, 41001, 43135, 27000, 27050, 52018, 38454, 31428, 35750, 19584, 28500, 25321, 30504, 39682, 28500, 29169, 38842, 27972, 53500, 34812, 26314, 30750, 36726, 118698, 38435, 68635, 33500, 31642, 65677, 45953, 30750, 38000, NA, 44334, 35199, 47880, NA, 41000, 58888, 51250, 30981, NA, 59863, 35600, 41000, 41000, 60613, 29330, 40500, 25601, 41000, 30500, 62761, 79726, 34935, 37045, 36126, 61190, 24000, 41000, 28063, 28500, 18680, 41000, 36989, 43977, NA, 45775, 27200, 55861, 36510, 48026, 34313, 31155, 41000, 20568, 41000, 37173, 30809, 30750, 27643, 48482, 41000, 41000, 77000, 41000, 50227, 39362, 41000, 29722, 50452, 52000, 41000, 32897, 80278, 61500, 28456, 53872, 46154, 30136, 42247, 20500, 41000, 47052, 39456, 42192, 40166, 24000, 41000, 44462, 25000, 46397, 48891, 48307, 52590, 41000, 26842, 37703, 33875, 23541, 50380, 30139, 58260, 46801, 30574, 41000, 20500, 51250, 45000, 41000, 30938, 23500, 41000, 55250, 20500, 28807, 41000, 63934, 76863, 29305, 41000, 32900, 23553, 49000, 40560, 73547, 43000, 82970, 41000, 36000, 41000, 40410, 35476, 70385, 61000, 41000, 19429, 37575, 33368, 38319, 50490, 27471, 25693, 41000, 30750, 30500, 31487, 34144, 29143, 34400, 86000, 37610, 41000, 28112, 39362, 20500, 25000, 30208, 43199, 36034, 35866, 66948, 46666, 38685, 41000, 32740, 50122, 38734, 68834, 39550, 51000, 41000, 67783, 33088, 44900, 41000, 26658, 22627, 37817, 37681, 21940, 41000, NA, 41000, 20500, 41000, NA, 41000, 20549, 37863, 40547, 17500, 22835, 27660, NA, 33801, 39376, 28050, 38738, 39406, 20683, NA, 15810, 32099, 32126, 42539, 40977, 49517, 39071, 41000, 40975, 41000, 44772, 50244, 25000, 26705, 41000, 26049, NA, 36451, 34200, NA, 25500, 16000, 37016, 55604, 19565, 20500
#> $ debt_all_stgp_eval_mdn10yrpay <dbl> 518, 421, 316, NA, 238, 275, 421, 443, 277, 278, 534, 395, 323, 367, 201, 293, 260, 313, 407, 293, 299, 399, 287, 549, 357, 270, 316, 377, 1219, 395, 705, 344, 325, 674, 472, 316, 390, NA, 455, 361, 492, NA, 421, 605, 526, 318, NA, 615, 366, 421, 421, 622, 301, 416, 263, 421, 313, 644, 819, 359, 380, 371, 628, 246, 421, 288, 293, 192, 421, 380, 452, NA, 470, 279, 574, 375, 493, 352, 320, 421, 211, 421, 382, 316, 316, 284, 498, 421, 421, 791, 421, 516, 404, 421, 305, 518, 534, 421, 338, 824, 631, 292, 553, 474, 309, 434, 210, 421, 483, 405, 433, 412, 246, 421, 457, 257, 476, 502, 496, 540, 421, 276, 387, 348, 242, 517, 309, 598, 481, 314, 421, 210, 526, 462, 421, 318, 241, 421, 567, 210, 296, 421, 656, 789, 301, 421, 338, 242, 503, 416, 755, 442, 852, 421, 370, 421, 415, 364, 723, 626, 421, 199, 386, 343, 393, 518, 282, 264, 421, 316, 313, 323, 351, 299, 353, 883, 386, 421, 289, 404, 210, 257, 310, 444, 370, 368, 687, 479, 397, 421, 336, 515, 398, 707, 406, 524, 421, 696, 340, 461, 421, 274, 232, 388, 387, 225, 421, NA, 421, 210, 421, NA, 421, 211, 389, 416, 180, 234, 284, NA, 347, 404, 288, 398, 405, 212, NA, 162, 330, 330, 437, 421, 508, 401, 421, 421, 421, 460, 516, 257, 274, 421, 267, NA, 374, 351, NA, 262, 164, 380, 571, 201, 210
#> $ earn_count_wne_hi_1yr         <dbl> 138, NA, 276, NA, 104, 24, 513, 110, 31, 39, 132, 113, 96, 163, 70, 120, 99, 161, 156, 385, 197, 271, 197, 162, 86, 173, 47, 136, 2360, 74, 408, 161, 239, 44, 25, 117, 31, 21, 261, 186, 20, 64, 379, 32, 129, 154, 50, 37, 91, 248, 62, 39, 151, 37, 179, 81, 543, 53, 30, 79, 339, 44, 460, NA, 158, 37, 111, 47, 362, 49, 49, 12, 140, 63, 51, 293, 99, 72, 84, 34, 96, 139, 312, 107, 33, 94, 52, 52, 146, 74, 66, 528, 55, 120, 189, 389, 398, 87, 149, 446, 242, 114, 22, 107, 45, 251, 18, 494, 60, 528, 249, 115, 24, 80, 17, 52, 53, 216, 130, 30, 100, 116, 98, 81, 16, 130, 52, 239, 48, 114, 120, 62, 124, 74, 209, 73, 34, 1003, 15, 102, 102, NA, 366, 578, 43, 666, 143, 25, 927, 24, 168, 31, 762, 81, 279, 104, 301, 312, 148, 152, 113, 72, 118, 51, 54, 183, 116, 25, 127, 117, 44, 104, 63, 125, 115, 252, 114, 163, 30, 344, 68, 62, 51, 64, 212, 53, 26, 362, 75, 214, 48, 191, 116, 273, 53, 340, 115, 163, 129, 410, 88, 74, 43, 76, 74, 47, 37, NA, 287, 31, 106, NA, 98, 122, 228, 399, 96, 99, 168, NA, 665, 215, 62, 29, 99, NA, NA, 58, 21, 275, 52, 119, 94, 59, 250, 164, NA, 138, 448, 54, 18, 108, 65, 34, 159, 108, 26, 22, 35, 35, 72, 55, 25
#> $ earn_mdn_hi_1yr               <dbl> 38065, NA, 39254, NA, 39609, 50606, 46843, 47377, 44276, 44170, 54091, 57770, 58522, 54732, 49611, 60165, 62829, 54696, 69114, 59506, 56979, 54348, 56693, 59124, 53080, 50717, 68592, 72850, 51438, 43504, 44912, 43888, 49064, 46738, 48641, 50161, 46087, 42682, 42584, 41524, 39009, 45919, 42821, 41342, 42384, 41193, 38721, 43696, 41751, 42390, 39214, 42012, 47944, 43984, 42961, 45752, 43252, 45435, 44356, 44845, 45348, 41193, 44381, NA, 43114, 39153, 38122, 42309, 44122, 39909, 45435, 42682, 44001, 43426, 42682, 44212, 43128, 43984, 40161, 35416, 36398, 38674, 40082, 42806, 40017, 38083, 37808, 38443, 39326, 42433, 44852, 45963, 42682, 49072, 47357, 49179, 50115, 53219, 50567, 49100, 50105, 51880, 40095, 46899, 45584, 43553, 39369, 45797, 43575, 43178, 44209, 49498, 49520, 49503, 50856, 48823, 45554, 50009, 33815, 32391, 37856, 41971, 45052, 42123, 39369, 40614, 44595, 43832, 39369, 44209, 48883, 51690, 46300, 42682, 46714, 52607, 44468, 48104, 42123, 47136, 45190, NA, 49397, 53202, 54331, 54467, 54073, 41725, 50836, 46924, 48579, 48041, 51487, 44595, 47992, 45500, 42742, 47869, 45305, 50395, 49962, 41069, 43749, 40408, 43087, 43798, 42174, 42433, 42841, 43264, 42495, 41420, 41844, 51346, 41441, 45284, 41565, 41823, 41342, 43496, 43319, 43290, 44666, 42479, 46182, 43351, 48432, 50186, 41651, 44087, 43426, 44431, 41342, 46999, 47046, 46902, 49939, 46336, 50194, 39556, 40621, 44468, 38289, 38649, 43240, 42682, 41342, NA, 42196, 38829, 38787, NA, 43000, 49797, 46053, 45991, 50272, 38597, 45365, NA, 46449, 45949, 44356, 47260, 46889, NA, NA, 44711, 45852, 47409, 45340, 51762, 45604, 40089, 44699, 51118, NA, 43798, 51946, 39297, 38289, 43000, 44861, 49660, 45785, 47494, 46478, 20140, 23538, 22810, 48752, 62463, 50105
#> $ earn_count_wne_hi_2yr         <dbl> 83, NA, 292, NA, 20, 27, 503, 107, 36, 33, 109, 88, 94, 136, 97, 111, 92, 152, 142, 350, 154, 255, 193, 160, 73, 76, 45, 81, 2263, 86, 393, 140, 269, 30, 26, 97, 51, 22, 317, 86, 15, 90, 296, 25, 57, 98, 70, 27, 69, 224, 62, 45, 128, 19, 183, 37, 414, 57, 35, 95, 339, 29, 259, NA, 108, 21, 101, 23, 299, 39, 47, NA, 125, 55, 47, 143, 74, 63, 96, 46, 58, 158, 289, 111, 15, 86, 60, 17, 126, 72, 58, 372, 49, 117, 139, 362, 425, 77, 117, 270, 121, 103, 13, 92, 19, 214, NA, 375, 48, 510, 202, 94, 17, 19, NA, 48, 55, 195, 107, 46, 43, 112, 95, 71, NA, 107, 42, 115, 43, 86, 118, 44, 85, 74, 221, 40, NA, 478, NA, 81, 89, NA, 301, 595, 30, 582, 142, NA, 811, NA, 199, 13, 712, 37, 137, 96, 136, 267, 70, 79, 82, 55, 97, 74, 29, 92, 97, NA, 80, 60, 30, 90, 62, 89, 106, 205, 68, 154, 32, 348, 71, 70, 39, 38, 182, 19, 14, 353, 69, 88, 58, 140, 102, 267, 42, 324, 102, 171, 104, 433, 78, 39, 25, 67, 53, 26, 17, NA, 291, 30, 107, 15, 93, 88, 208, 212, 80, 83, 158, NA, 483, 236, 53, 25, 115, NA, NA, 53, 18, 135, 43, 124, 45, 56, 234, 140, NA, 119, 453, 31, NA, 128, 24, 21, 250, 91, 29, NA, 37, 18, 43, 44, 26
#> $ earn_mdn_hi_2yr               <dbl> 37819, NA, 38981, NA, 38289, 51750, 46118, 47877, 44595, 45383, 54082, 58943, 57796, 58503, 54073, 60096, 56641, 55534, 64087, 59443, 60585, 58035, 56114, 59742, 53045, 49990, 70680, 72320, 52078, 44133, 44882, 46422, 49929, 48432, 44021, 50263, 47260, 44737, 43950, 35861, 35416, 46087, 43054, 33993, 42682, 42542, 38433, 43128, 40017, 42138, 40697, 41193, 47729, 42682, 44399, 40768, 43528, 39639, 47260, 41479, 43182, 44895, 43426, NA, 43054, 42682, 39045, 38721, 44093, 43319, 44755, NA, 47361, 44508, 43426, 43605, 41937, 42868, 38516, 39153, 37208, 38736, 42123, 42276, 39369, 38505, 36745, 36455, 38195, 41689, 43798, 44399, 42203, 47673, 45500, 50000, 50336, 54053, 50606, 49378, 51794, 47260, 33993, 47871, 43240, 43269, NA, 46342, 46478, 44269, 44323, 54768, 49019, 54435, NA, 47520, 47553, 50806, 35314, 33007, 37748, 41362, 42961, 45647, NA, 40589, 42185, 43333, 38443, 44765, 52464, 52334, 46478, 42276, 45554, 47260, NA, 46886, NA, 47092, 42263, NA, 49714, 53587, 52941, 52377, 53550, NA, 50971, NA, 45472, 46321, 50280, 40017, 44698, 45061, 40546, 48980, 45408, 48162, 47260, 42510, 42363, 42961, 44021, 43575, 42487, NA, 42522, 39119, 45584, 41087, 44170, 50856, 43016, 44800, 41631, 43626, 39249, 43371, 44227, 44930, 46673, 38048, 45008, 46924, 42123, 49962, 40125, 46272, 43493, 44335, 42821, 47846, 46924, 47334, 46148, 48010, 48864, 39353, 42123, 42073, 39153, 37907, 47650, 39729, 38829, NA, 41007, 41937, 39693, 43426, 40269, 45030, 48971, 46177, 50258, 42682, 44426, NA, 46168, 45600, 48112, 46087, 48628, NA, NA, 46193, 47260, 45870, 44635, 48600, 45500, 41007, 44987, 48501, NA, 42682, 49646, 40827, NA, 42402, 44933, 50105, 46332, 48225, 49631, NA, 25194, 19227, 49270, 55964, 46869
#> $ tuit_grad_res                 <dbl> 8130, 6174, 10470, 18530, 7146, 9768, 10810, 7680, 7379, 4626, 16224, 6738, 6738, 6738, 6738, 6738, 6738, 6738, 6738, 6738, 6738, 6738, 6738, 11220, 6738, 6738, 6738, 6738, 41592, 9628, 45288, 7568, 13726, 17730, 12822, 6497, 5160, 17100, 17820, 6916, 8019, 8912, 9684, 18373, 9630, 8350, 7088, 3402, 6876, 8492, 3528, 4374, 15288, 17190, 6232, 8851, 10800, 5580, 18960, 7368, 13263, 7466, 18594, 6408, 17993, 13302, 10524, 6312, 8331, 6648, 6648, 6648, 8856, 8592, 16020, 9480, 9306, 8250, 5173, 10242, 11904, 10925, 12246, 10008, 13608, 11400, 5110, 9132, 6024, 49030, 7524, 19936, 6840, 7074, 6858, 27216, 49176, 1675, 2520, 20556, 29640, 5724, 25128, 15120, 7046, 15408, 13410, 21466, 16764, 14746, 13312, 12778, 6849, 16240, 16240, 7373, 11160, 24386, 7141, 6858, 7549, 8462, 6462, 10668, 8025, 19350, 4644, 48950, 4135, 4649, 4968, 4752, 13840, 13156, 24156, 10464, 14545, 16536, 21078, 10686, 4088, 3026, 37623, 43552, 10130, 10130, 10130, 23208, 32160, 27087, 28272, 21120, 39936, 13482, 10870, 10870, 10870, 10870, 34632, 16200, 19800, 4744, 4656, 3371, 4545, 9643, 4252, 5117, 4647, 8088, 4448, 3639, 4348, 7185, 7731, 42576, 12790, 9565, 12890, 11560, 9510, 13166, 13474, 8492, 4886, 15504, 30421, 13248, 11592, 8694, 8694, 9300, 11592, 32286, 11592, 15786, 11592, 24800, 6696, 12398, 14312, 7516, 8300, 7992, 8820, 7974, 11070, 8100, 11044, 8380, 6870, 19890, 28494, 3630, 7956, 15390, 5439, 4896, 6167, 3672, 7141, 11300, 4497, 26640, 5186, 5400, 4402, 6680, 5323, 6473, 15096, 10628, 7148, 7868, 10976, 10953, 19353, 23088, 15207, 7600, 6298, 9000, 7640, 7640, 10728, 10387, 4338, 3780, 2380, 2652, 6738, 6738, 6974
#> $ fee_grad_res                  <dbl> 1236, 2284, 0, 610, 802, 1424, 696, 1604, 971, 1292, 220, 1385, 1256, 1138, 1568, 951, 841, 1088, 1092, 988, 911, 1115, 1428, 1463, 1737, 1612, 1012, 1946, 713, 2088, 303, 1073, 2270, 720, 828, 4722, 350, 526, 0, 1956, 1857, 2185, 1859, 802, 0, 2078, 1974, 1602, 2128, 2270, 1758, 2116, 880, 130, 2208, 120, 0, 3196, 330, 1900, 3080, 1504, 848, 1389, 327, 375, 4059, 1642, 1064, 595, 595, 595, 1501, 1211, 280, 958, 406, 110, 905, 0, 300, 1311, 196, 384, 0, 0, 2012, 2755, 1934, 1980, 1142, 686, 830, 1404, 1512, 90, 710, 8563, 4671, 162, 195, 0, 690, 1235, 0, 0, 0, 328, 0, 1757, 923, 0, 714, 1495, 1243, 883, 0, 214, 120, 20, 110, 1114, 1009, 0, 0, 546, 910, 330, 1758, 1441, 532, 535, 2080, 3316, 700, 1676, 3131, 2097, 644, 3214, 853, 1624, 1335, 2002, 560, 308, 430, 100, 491, 111, 1904, 210, 2432, 300, 1824, 2051, 2477, 1696, 1242, 1000, 225, 2977, 2632, 2162, 2902, 1963, 3026, 2636, 2477, 2484, 2595, 2285, 2844, 1458, 1405, 34, 1678, 114, 638, 865, 0, 1555, 0, 410, 3283, 0, 213, 1317, 3916, 2490, 1795, 1415, 3306, 3318, 3384, 890, 2399, 300, 482, 400, 300, 1042, 1473, 1379, 1643, 1260, 0, 1776, 1790, 1040, 20, 0, 3006, 2146, 982, 816, 1169, 1531, 1801, 2437, 1678, 0, 1126, 48, 1915, 2125, 1947, 0, 954, 1054, 1916, 3096, 3420, 3090, 2167, 841, 765, 150, 1059, 150, 1122, 0, 1580, 1122, 1215, 1402, 1335, 714, 144, 900, 1911, 907, 1987
#> $ tuit_grad_nres                <dbl> 16260, 12348, 26950, 18530, 14292, 19954, 23480, 17400, 18842, 9252, 16224, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 26322, 15666, 15666, 15666, 15666, 41592, 23604, 45288, 11873, 34762, 17730, 12822, 18102, 11376, 17100, 17820, 25759, 22108, 21393, 24116, 18373, 9630, 19048, 22166, 13590, 22374, 24090, 13068, 15750, 36768, 17190, 20682, 8851, 10800, 10782, 18960, 14736, 22217, 15038, 18594, 12816, 17993, 13302, 26310, 11156, 22985, 15661, 15661, 15661, 26460, 19066, 16020, 22176, 9306, 16786, 12704, 10242, 11904, 27069, 25486, 15390, 13608, 16320, 5110, 9132, 12965, 49030, 24498, 19936, 18468, 13860, 12060, 27216, 49176, 1675, 4140, 20556, 29640, 5724, 25128, 27840, 10569, 15408, 13410, 43346, 32940, 31939, 28195, 12778, 6849, 25120, 25120, 11201, 11160, 24386, 7141, 6858, 16419, 23172, 16685, 26184, 8025, 19350, 9324, 48950, 18742, 12987, 18878, 18662, 27130, 17831, 24156, 15837, 14545, 28128, 21078, 16449, 14254, 8730, 37623, 43552, 18720, 18720, 18720, 23208, 32160, 27087, 28272, 21120, 39936, 13482, 22210, 22210, 22210, 22210, 34632, 16200, 19800, 17913, 17547, 14219, 16950, 26854, 17423, 18566, 17347, 22610, 16667, 13896, 14755, 19184, 13237, 42576, 24532, 16297, 29604, 32008, 17502, 23502, 22890, 12992, 18989, 15504, 30421, 20736, 17400, 13050, 13050, 9300, 17400, 32286, 17400, 21636, 17400, 24800, 13032, 27008, 27570, 14449, 22280, 22248, 17604, 22086, 11070, 24218, 29232, 20020, 6870, 19890, 28494, 10974, 17100, 15390, 12783, 12240, 14327, 11015, 15638, 21518, 12326, 26640, 20785, 12744, 5081, 6680, 18632, 22848, 38160, 29306, 17784, 16394, 22479, 25438, 19353, 23088, 27255, 13252, 16788, 23238, 16771, 16771, 24054, 23424, 12978, 3780, 6498, 2652, 15666, 15666, 28170
#> $ fee_grad_nres                 <dbl> 1236, 2284, 0, 610, 802, 1758, 696, 1604, 971, 1292, 220, 1385, 1256, 1138, 1568, 951, 841, 1088, 1092, 988, 911, 1115, 1428, 1463, 1737, 1612, 1012, 1946, 713, 2088, 303, 1073, 2270, 720, 828, 5917, 350, 526, 0, 2898, 2561, 2809, 2581, 802, 0, 2078, 2728, 1602, 2128, 2270, 1758, 2116, 880, 130, 2208, 120, 0, 3196, 330, 1900, 3080, 1504, 848, 1389, 327, 375, 4059, 1782, 1064, 595, 595, 595, 1501, 1211, 280, 958, 406, 110, 905, 0, 300, 1311, 196, 384, 0, 0, 11035, 19690, 1934, 1980, 1142, 686, 830, 1404, 1512, 90, 710, 8563, 4671, 162, 195, 0, 690, 1235, 0, 0, 0, 328, 0, 1757, 923, 0, 714, 1495, 1243, 883, 0, 214, 10473, 20, 110, 1114, 1009, 0, 0, 546, 910, 330, 1812, 1441, 532, 535, 2080, 3316, 700, 1676, 3131, 2097, 644, 3214, 853, 1624, 1335, 2002, 560, 308, 430, 100, 491, 111, 1904, 210, 2432, 300, 1824, 2051, 2477, 1696, 1242, 1000, 225, 2977, 2632, 2162, 2902, 1963, 3026, 2636, 2477, 2484, 2595, 2285, 2844, 1458, 1405, 34, 1678, 114, 638, 865, 0, 1555, 0, 410, 3283, 0, 213, 1317, 5119, 3392, 2447, 1415, 3594, 3318, 3672, 890, 2615, 300, 482, 400, 300, 1042, 1473, 1379, 1643, 1260, 0, 1776, 2020, 1040, 20, 0, 3006, 2146, 982, 816, 1169, 1531, 1801, 2437, 1678, 0, 1126, 48, 1915, 2125, 1947, 0, 954, 1054, 1916, 3096, 3420, 3536, 2792, 841, 765, 150, 1059, 150, 1122, 0, 1580, 1122, 1215, 1402, 1335, 714, 144, 900, 1911, 907, 3046
#> $ books_supplies                <dbl> 1600, 1600, 1200, 1000, 1129, 1608, 1103, 1715, 1046, 1137, 1792, 1898, 1500, 1791, 1792, 1764, 1792, 1898, 1500, 1898, 1898, 1600, 1792, 1636, 1660, 1818, 1900, 1899, 1200, 1200, 1200, 1200, 850, 800, 1000, 1400, 1700, 1600, 1500, 1152, 1138, 1590, 1000, 1500, 1720, 1200, 1200, 1298, 1600, 1006, 1600, 1200, 952, 1200, 1200, 1200, 1000, 1800, 1104, 900, 1400, 942, 1200, 2400, 1200, 800, 1100, 840, 1204, 1204, 1204, 1204, 950, 900, 1200, 1080, 986, 1000, 1000, 1240, 1100, 1000, 1200, 800, 1260, 1000, 1749, 1160, 1220, 1200, 1000, 1400, 1200, 2500, 1300, 1250, 1000, 800, 1200, 1280, 1000, 1006, 1100, 1000, 914, 700, 1272, 1048, 1076, 1196, 948, 1200, 900, 1000, 1200, 1200, 1150, 1000, 2300, 1400, 1200, 1344, 980, 1000, 1800, 1200, 1100, 980, 1400, 1080, 1298, 1300, 1200, 1384, 1234, 1300, 1569, 1350, 1000, 1597, 1298, 1466, 1020, 1400, 1364, 1364, 1364, 1000, 1012, 1300, 2000, 1100, 1070, 1100, 1200, 1000, 1196, 900, 1440, 778, 1224, 700, 1280, 400, 1400, 1442, 1200, 956, 1500, 1082, 1104, 1505, 2151, 1000, 1000, 1200, 1500, 800, 1216, 1234, 1030, 1150, 1248, 1100, 714, 950, 1050, 2090, 1000, 1000, 1628, 1000, 1000, 1280, 1200, 1000, 1200, 1300, 1200, 1023, 1000, 1200, 1550, 1090, 1415, 1540, 1100, 1400, 1598, 2300, 1250, 1250, 1444, 1400, 1300, 1200, 1210, 1192, 820, 1200, 1206, 662, 1216, 1050, 1000, 1200, 1000, 812, 810, 1232, 1200, 1200, 2535, 1200, 2804, 900, 1500, 825, 825, 1100, 1100, 900, 800, 1000, 1200, 800, 1200, 845, 2168, 1700, 1764, 1339, 1200
#> $ roomboard_off                 <dbl> 8830, 7320, 13050, 9850, 5815, 11728, 9216, 9406, 10332, 8910, 12494, 13780, 10900, 13770, 11360, 12888, 12492, 13882, 13884, 12910, 13882, 11358, 12492, 10667, 12638, 12050, 13882, 13882, 14348, 9693, 12021, 9694, 12436, 13850, 10750, 9698, 12303, 13040, 11400, 9764, 9636, 11837, 10304, 19125, 11680, 9700, 9354, 10622, 9828, 8032, 7526, 9258, 13030, 17362, 8974, 8350, 3858, 8724, 13387, 10868, 10882, 8082, 11500, 6588, 16699, 7200, 10186, 9211, 9430, 7170, 7170, 7170, 8588, 8629, 9470, 9610, 11169, 10252, 10575, 5210, 3600, 12184, 7538, 9514, 10920, 7713, 10321, 15772, 8780, 13844, 10164, 9700, 9980, 11876, 11352, 10200, 14870, 12200, 10310, 14500, 11890, 10396, 10464, 7400, 8128, 5560, 9550, 10872, 9784, 9134, 9561, 17358, 7112, 9377, 7460, 8230, 8862, 8700, 6100, 7394, 10000, 10298, 9516, 9516, 6400, 10640, 8288, 15596, 8826, 8648, 9190, 10558, 10938, 10973, 8967, 10964, 10849, 17934, 13108, 11942, 8944, 8224, 9720, 17010, 13713, 13713, 13713, 2900, 11924, 10230, 25000, 13150, 17578, 7222, 9750, 8090, 11241, 12900, 15217, 12865, 13283, 8380, 9241, 8070, 7153, 12218, 9823, 8744, 9636, 10635, 8624, 8208, 10100, 7856, 12342, 14298, 12102, 12000, 12454, 11706, 12268, 7514, 11376, 8990, 10280, 10528, 11822, 12200, 10524, 11219, 9438, 10000, 13349, 14536, 9504, 12336, 12860, 8190, 12400, 10540, 7464, 8008, 9711, 7952, 9153, 8246, 8200, 9100, 10238, 6610, 9400, 9310, 10576, 7780, 11067, 7872, 7670, 8868, 7260, 9710, 8410, 10070, 9496, 12000, 9558, 9081, 8582, 7448, 7880, 9936, 10000, 12186, 9490, 8405, 11280, 10941, 11499, 7350, 14625, 8350, 9254, 8340, 7186, 7600, 10446, 10030, 10320, 7314, 11161, 8000, 12826, 15450, 9672
#> $ oth_expense_off               <dbl> 3090, 4228, 4116, 5498, 5227, 7568, 4708, 5213, 4104, 5202, 4158, 2924, 2516, 2658, 2478, 2870, 2658, 2924, 2706, 2934, 2924, 2182, 2658, 5140, 2444, 3296, 2966, 2925, 1880, 1360, 2634, 6164, 2650, 2500, 2644, 3972, 5664, 5500, 7700, 4970, 6313, 5354, 4764, 8010, 2552, 4100, 2100, 3860, 4400, 3952, 2326, 4994, 2899, 2220, 4030, 3440, 3520, 4115, 2364, 7000, 3628, 5538, 1600, 6489, 1450, 4120, 2941, 2768, 3798, 3798, 3798, 3798, 3420, 2950, 5924, 3070, 3190, 3581, 4769, 3260, 6150, 3260, 6478, 5364, 3564, 3307, 6871, 5420, 3919, 1060, 2200, 3650, 3000, 4045, 2700, 1700, 1950, 2800, 3402, 2550, 2000, 2434, 4400, 2578, 1272, 1846, 3204, 2454, 2368, 5754, 2366, 2500, 2536, 2200, 2304, 2700, 2166, 2746, 5100, 4400, 3570, 4756, 5434, 5164, 3246, 3448, 4034, 3408, 3757, 3630, 5682, 4500, 6688, 3550, 3926, 5576, 6282, 3013, 3200, 3983, 3764, 5080, 7208, 4860, 5302, 5302, 5302, 1500, 2748, 3660, 2500, 1400, 2000, 3450, 2086, 2632, 3505, 5336, 1665, 4666, 5283, 3286, 3644, 2426, 4220, 3404, 3496, 2536, 4667, 2442, 4604, 3296, 2516, 3422, 3152, 1900, 5666, 3470, 2014, 2870, 2706, 5358, 2784, 3635, 5433, 2120, 1680, 3700, 4350, 2550, 3930, 1700, 2666, 2060, 3258, 5934, 2520, 2358, 2200, 4111, 3000, 5441, 4538, 5700, 4512, 4162, 4150, 3600, 5666, 3420, 8010, 3350, 4430, 3938, 5508, 3300, 4170, 3454, 3910, 4118, 4512, 4310, 4292, 4700, 4666, 4420, 4854, 4500, 3770, 3678, 2302, 4908, 4038, 3300, 3120, 3180, 4170, 2976, 3561, 2944, 3146, 2620, 3358, 2700, 3096, 3306, 3040, 6107, 3251, 4800, 2668, 2925, 3400
#> $ tuitfee_grad_res              <dbl> 9366, 8458, 10470, 19140, 7948, 11192, 11506, 9284, 8350, 5918, 16444, 8123, 7994, 7876, 8306, 7689, 7579, 7826, 7830, 7726, 7649, 7853, 8166, 12683, 8475, 8350, 7750, 8684, 42305, 11716, 45591, 8641, 15996, 18450, 13650, 11219, 5510, 17626, 17820, 8872, 9876, 11097, 11543, 19175, 9630, 10428, 9062, 5004, 9004, 10762, 5286, 6490, 16168, 17320, 8440, 8971, 10800, 8776, 19290, 9268, 16343, 8970, 19442, 7797, 18320, 13677, 14583, 7954, 9395, 7243, 7243, 7243, 10357, 9803, 16300, 10438, 9712, 8360, 6078, 10242, 12204, 12236, 12442, 10392, 13608, 11400, 7122, 11887, 7958, 51010, 8666, 20622, 7670, 8478, 8370, 27306, 49886, 10238, 7191, 20718, 29835, 5724, 25818, 16355, 7046, 15408, 13410, 21794, 16764, 16503, 14235, 12778, 7563, 17735, 17483, 8256, 11160, 24600, 7261, 6878, 7659, 9576, 7471, 10668, 8025, 19896, 5554, 49280, 5893, 6090, 5500, 5287, 15920, 16472, 24856, 12140, 17676, 18633, 21722, 13900, 4941, 4650, 38958, 45554, 10690, 10438, 10560, 23308, 32651, 27198, 30176, 21330, 42368, 13782, 12694, 12921, 13347, 12566, 35874, 17200, 20025, 7721, 7288, 5533, 7447, 11606, 7278, 7753, 7124, 10572, 7043, 5924, 7192, 8643, 9136, 42610, 14468, 9679, 13528, 12425, 9510, 14721, 13474, 8902, 8169, 15504, 30634, 14565, 15508, 11184, 10489, 10715, 14898, 35604, 14976, 16676, 13991, 25100, 7178, 12798, 14612, 8558, 9773, 9371, 10463, 9234, 11070, 9876, 12834, 9420, 6890, 19890, 31500, 5776, 8938, 16206, 6608, 6427, 7968, 6109, 8819, 11300, 5623, 26688, 7101, 7525, 6349, 6680, 6277, 7527, 17012, 13724, 10568, 10958, 13143, 11794, 20118, 23238, 16266, 7750, 7420, 9000, 9220, 8762, 11943, 11789, 5673, 4494, 2524, 3552, 8649, 7645, 8961
#> $ tuitfee_grad_nres             <dbl> 17496, 14632, 26950, 19140, 15094, 21712, 24176, 19004, 19813, 10544, 16444, 17051, 16922, 16804, 17234, 16617, 16507, 16754, 16758, 16654, 16577, 16781, 17094, 27785, 17403, 17278, 16678, 17612, 42305, 25692, 45591, 12946, 37032, 18450, 13650, 24019, 11726, 17626, 17820, 28657, 24669, 24202, 26697, 19175, 9630, 21126, 24894, 15192, 24502, 26360, 14826, 17866, 37648, 17320, 22890, 8971, 10800, 13978, 19290, 16636, 25297, 16542, 19442, 14205, 18320, 13677, 30369, 12938, 24049, 16256, 16256, 16256, 27961, 20277, 16300, 23134, 9712, 16896, 13609, 10242, 12204, 28380, 25682, 15774, 13608, 16320, 16145, 28822, 14899, 51010, 25640, 20622, 19298, 15264, 13572, 27306, 49886, 10238, 8811, 20718, 29835, 5724, 25818, 29075, 10569, 15408, 13410, 43674, 32940, 33696, 29118, 12778, 7563, 26615, 26363, 12084, 11160, 24600, 17614, 6878, 16529, 24286, 17694, 26184, 8025, 19896, 10234, 49280, 20554, 14428, 19410, 19197, 29210, 21147, 24856, 17513, 17676, 30225, 21722, 19663, 15107, 10354, 38958, 45554, 19280, 19028, 19150, 23308, 32651, 27198, 30176, 21330, 42368, 13782, 24034, 24261, 24687, 23906, 35874, 17200, 20025, 20890, 20179, 16381, 19852, 28817, 20449, 21202, 19824, 25094, 19262, 16181, 17599, 20642, 14642, 42610, 26210, 16411, 30242, 32873, 17502, 25057, 22890, 13402, 22272, 15504, 30634, 22053, 22519, 16442, 15497, 10715, 20994, 35604, 21072, 22526, 20015, 25100, 13514, 27408, 27870, 15491, 23753, 23627, 19247, 23346, 11070, 25994, 31252, 21060, 6890, 19890, 31500, 13120, 18082, 16206, 13952, 13771, 16128, 13452, 17316, 21518, 13452, 26688, 22700, 14869, 7028, 6680, 19586, 23902, 40076, 32402, 21204, 19930, 25271, 26279, 20118, 23238, 28314, 13402, 17910, 23238, 18351, 17893, 25269, 24826, 14313, 4494, 6642, 3552, 17577, 16573, 31216
#> $ coa_grad_res                  <dbl> 22886, 21606, 28836, 35488, 20119, 32096, 26533, 25618, 23832, 21167, 34888, 26725, 22910, 26095, 23936, 25211, 24521, 26530, 25920, 25468, 26353, 22993, 25108, 30126, 25217, 25514, 26498, 27390, 59733, 23969, 61446, 25699, 31932, 35600, 28044, 26289, 25177, 37766, 38420, 24758, 26963, 29878, 27611, 47810, 25582, 25428, 21716, 20784, 24832, 23752, 16738, 21942, 33049, 38102, 22644, 21961, 19178, 23415, 36145, 28036, 32253, 23532, 33742, 23274, 37669, 25797, 28810, 20773, 23827, 19415, 19415, 19415, 23315, 22282, 32894, 24198, 25057, 23193, 22422, 19952, 23054, 28680, 27658, 26070, 29352, 23420, 26063, 34239, 21877, 67114, 22030, 35372, 21850, 26899, 23722, 40456, 67706, 26038, 22103, 39048, 44725, 19560, 41782, 27333, 17360, 23514, 27436, 36168, 29992, 32587, 27110, 33836, 18111, 30312, 28447, 20386, 23338, 37046, 20761, 20072, 22429, 25974, 23401, 26348, 19471, 35184, 18976, 69264, 19876, 19448, 21670, 21645, 34746, 32379, 38983, 29980, 36376, 40930, 39030, 31422, 18947, 19420, 56906, 68824, 31069, 30817, 30939, 28708, 48335, 42388, 59676, 36980, 63016, 25554, 25730, 24643, 29289, 31702, 54196, 35509, 39815, 20087, 21453, 16429, 20220, 28670, 21797, 19989, 22927, 24731, 21375, 18933, 21959, 20921, 25630, 60008, 33736, 25949, 29212, 28235, 25514, 28743, 28882, 22627, 24596, 29102, 45186, 32555, 31382, 25953, 25485, 23415, 31913, 53480, 28938, 35946, 30571, 36948, 22978, 28472, 26076, 23207, 25572, 24113, 25543, 23182, 24520, 23976, 30336, 21750, 25550, 33800, 47950, 18894, 26813, 28578, 19658, 19941, 19958, 21137, 22947, 26342, 20627, 44438, 22325, 22226, 20785, 19440, 18737, 22373, 30514, 32018, 26631, 23863, 30347, 26815, 37287, 34389, 35277, 20144, 20920, 20860, 20564, 20062, 26685, 25925, 20233, 18760, 19104, 18052, 25907, 27359, 23233
#> $ coa_grad_nres                 <dbl> 31016, 27780, 45316, 35488, 27265, 42616, 39203, 35338, 35295, 25793, 34888, 35653, 31838, 35023, 32864, 34139, 33449, 35458, 34848, 34396, 35281, 31921, 34036, 45228, 34145, 34442, 35426, 36318, 59733, 37945, 61446, 30004, 52968, 35600, 28044, 39089, 31393, 37766, 38420, 44543, 41756, 42983, 42765, 47810, 25582, 36126, 37548, 30972, 40330, 39350, 26278, 33318, 54529, 38102, 37094, 21961, 19178, 28617, 36145, 35404, 41207, 31104, 33742, 29682, 37669, 25797, 44596, 25757, 38481, 28428, 28428, 28428, 40919, 32756, 32894, 36894, 25057, 31729, 29953, 19952, 23054, 44824, 40898, 31452, 29352, 28340, 35086, 51174, 28818, 67114, 39004, 35372, 33478, 33685, 28924, 40456, 67706, 26038, 23723, 39048, 44725, 19560, 41782, 40053, 20883, 23514, 27436, 58048, 46168, 49780, 41993, 33836, 18111, 39192, 37327, 24214, 23338, 37046, 31114, 20072, 31299, 40684, 33624, 41864, 19471, 35184, 23656, 69264, 34537, 27786, 35580, 35555, 48036, 37054, 38983, 35353, 36376, 52522, 39030, 37185, 29113, 25124, 56906, 68824, 39659, 39407, 39529, 28708, 48335, 42388, 59676, 36980, 63016, 25554, 37070, 35983, 40629, 43042, 54196, 35509, 39815, 33256, 34344, 27277, 32625, 45881, 34968, 33438, 35627, 39253, 33594, 29190, 32366, 32920, 31136, 60008, 45478, 32681, 45926, 48683, 33506, 39079, 38298, 27127, 38699, 29102, 45186, 40043, 38393, 31211, 30493, 23415, 38009, 53480, 35034, 41796, 36595, 36948, 29314, 43082, 39334, 30140, 39552, 38369, 34327, 37294, 24520, 40094, 48754, 33390, 25550, 33800, 47950, 26238, 35957, 28578, 27002, 27285, 28118, 28480, 31444, 36560, 28456, 44438, 37924, 29570, 21464, 19440, 32046, 38748, 53578, 50696, 37267, 32835, 42475, 41300, 37287, 34389, 47325, 25796, 31410, 35098, 29695, 29193, 40011, 38962, 28873, 18760, 23222, 18052, 34835, 36287, 45488

  # investigate data structure  
    # one observation per opeid6
    df_socialwork %>% group_by(opeid6) %>% summarise(n_per_key=n()) %>% ungroup() %>% count(n_per_key)
#> # A tibble: 1 x 2
#>   n_per_key     n
#>       <int> <int>
#> 1         1   253
    
    # also, one observation per unitid
    df_socialwork %>% group_by(unitid) %>% summarise(n_per_key=n()) %>% ungroup() %>% count(n_per_key)
#> # A tibble: 1 x 2
#>   n_per_key     n
#>       <int> <int>
#> 1         1   253

    
##### create data frame that only contains observations for MAs in business
  
  #particularly the degree "Business Administration, Management and Operations", which is associated with general MBA programs
    
#df_score_ipeds %>% filter(cipdig2=="52") %>% count(cipcode)
#df_score_ipeds %>% filter(cipdig2=="52") %>% count(cipdesc)

  df_mba <- df_score_ipeds %>% 
    filter(cipcode=='5202') %>%
    # remove observations with missing values of cost of attendance (better for teaching concepts)
    filter(!is.na(coa_grad_res))    

df_mba %>% glimpse()
#> Rows: 665
#> Columns: 36
#> $ opeid6                        <chr> "001002", "001052", "025034", "001055", "001051", "001009", "001003", "001004", "001016", "001036", "001047", "001063", "001061", "001081", "001083", "001082", "001101", "001108", "001090", "001089", "001092", "001097", "001100", "001107", "001117", "001125", "001133", "001143", "007993", "001157", "001142", "001144", "001146", "001141", "001147", "001137", "001138", "001139", "001140", "001153", "001150", "001313", "001314", "001315", "001316", "001317", "001164", "020705", "001196", "001253", "001205", "001183", "001149", "001216", "001215", "001243", "011460", "001179", "001252", "001329", "010149", "001262", "001322", "001151", "010395", "001154", "001325", "001155", "001326", "001302", "001156", "001328", "001343", "001345", "004508", "004509", "001370", "009401", "001350", "001371", "001363", "001374", "001416", "001378", "001417", "001385", "001422", "001397", "001402", "001403", "001409", "001406", "001380", "001431", "007948", "001434", "001443", "001444", "001460", "001466", "001505", "003954", "001479", "001480", "001481", "001469", "009635", "001488", "001535", "001495", "021519", "001536", "009841", "001509", "008849", "001515", "001526", "001537", "001468", "001531", "001521", "001538", "003955", "001544", "001556", "008976", "001561", "001564", "001569", "001573", "001602", "001572", "001598", "001588", "001599", "001601", "001605", "001610", "007279", "001616", "001620", "001626", "001624", "001634", "001641", "001666", "001671", "001674", "001676", "009145", "001776", "001767", "001692", "001700", "001707", "001710", "001722", "001733", "001734", "001735", "001737", "001739", "001693", "001741", "001746", "001748", "001749", "001750", "001664", "001768", "001758", "001759", "001780", "001785", "001787", "001788", "001800", "001804", "001808", "001807", "001811", "001822", "001832", "001842", "001891", "001869", "001892", "001880", "001889", "001893", "001903", "001927", "001915", "001918", "001948", "001939", "001928", "007032", "001926", "001943", "001940", "001949", "001950", "001954", "001959", "001962", "001975", "002002", "002010", "002008", "002017", "002015", "002005", "002020", "002024", "002025", "002031", "002029", "002053", "002051", "002054", "002052", "002102", "002062", "002072", "002076", "002077", "002078", "011644", "002103", "002083", "002086", "002091", "002114", "002117", "002118", "002122", "002124", "002128", "002130", "002133", "002183", "021829", "002139", "002143", "002184", "002161", "002221", "002222", "002199", "002188", "002208", "002211", "002210", "002218", "002226", "002233", "002190", "002238", "002243", "002249", "002323", "002259", "002262", "002266", "002279", "002325", "002290", "002326", "002327", "002307", "002314", "002316", "002318", "002329", "002330", "002334", "009058", "002347", "002354", "010374", "003969", "002371", "002377", "002380", "002345", "002342", "002375", "002394", "002396", "002397", "002403", "002410", "002440", "002424", "002415", "002423", "002441", "002447", "002449", "002454", "002461", "002463", "002464", "002480", "007540", "002496", "002498", "002499", "002506", "002501", "002503", "002520", "002521", "002525", "002536", "009743", "002539", "002554", "002565", "002540", "002566", "002569", "002568", "002575", "002579", "002580", "002591", "002586", "002598", "002599", "002607", "002610", "002608", "002609", "002613", "002622", "002616", "002617", "002621", "009344", "002628", "002629", "002638", "002639", "009345", "021922", "002625", "002651", "002653", "002663", "002657", "002650", "002664", "002666", "002668", "002681", "002699", "009769", "002707", "002711", "007273", "002687", "007022", "002712", "002713", "002722", "002732", "002737", "002744", "002748", "002751", "002758", "002765", "002772", "002775", "002778", "002703", "020662", "002785", "002782", "002790", "002791", "002805", "002806", "002810", "002817", "002705", "002825", "002821", "002823", "002835", "002836", "002837", "002838", "002842", "002846", "002848", "010286", "002853", "002882", "010142", "002883", "002899", "002906", "002913", "002923", "002927", "002928", "002929", "002941", "002948", "002905", "002974", "002975", "002976", "002950", "002972", "002984", "002954", "002955", "002957", "002978", "002985", "002981", "002992", "002994", "003005", "002997", "003123", "003012", "003014", "003018", "003023", "003024", "003125", "003032", "003127", "003045", "003050", "003051", "003066", "003069", "003072", "003077", "007085", "003033", "003035", "003090", "003100", "003121", "003131", "010923", "003134", "003135", "003078", "003144", "003145", "003151", "003149", "003152", "003161", "003170", "003166", "003184", "003179", "003181", "003185", "003193", "003194", "003208", "003210", "003223", "003212", "003216", "003224", "003219", "003986", "003233", "003315", "003241", "003316", "003303", "003244", "003318", "003252", "003256", "003258", "003259", "003266", "003267", "003270", "003275", "003277", "003287", "003288", "003289", "003290", "003296", "003988", "003329", "003378", "003357", "003360", "003366", "003384", "003362", "003326", "003327", "003371", "003388", "003391", "003328", "003313", "003394", "003399", "003402", "003404", "003406", "003414", "003411", "003418", "003419", "003422", "003428", "003425", "003441", "003448", "003451", "003456", "003469", "003474", "003478", "003479", "003481", "003482", "003485", "003486", "003487", "003496", "003500", "003502", "003509", "003510", "003529", "003530", "003531", "003522", "003523", "003527", "003528", "003537", "003541", "003545", "003557", "011161", "003560", "003651", "031703", "003565", "003576", "011711", "003612", "013231", "003652", "003578", "003581", "009651", "003584", "003588", "003592", "003594", "003598", "003630", "003604", "003621", "003654", "003606", "003623", "003613", "003616", "003624", "003615", "003631", "003639", "003632", "003656", "003658", "009741", "003661", "011163", "003636", "010115", "003642", "003644", "003646", "003663", "003665", "003670", "003678", "003677", "004027", "003675", "003680", "003681", "003684", "003692", "003696", "003705", "030913", "003708", "003749", "003714", "003721", "020530", "003720", "003746", "003724", "003728", "003737", "003754", "003735", "003745", "013022", "003775", "003778", "003783", "003785", "003794", "003790", "003800", "003798", "003802", "003804", "003812", "003827", "003832", "003837", "003838", "003842", "003848", "003854", "003861", "003863", "003911", "003917", "003920", "003896", "003921", "003923", "003932", "025875", "003941", "011719", "001825", "006942", "041618", "030113", "030375", "032603", "033394", "032553", "039803", "041425", "001579"
#> $ unitid                        <dbl> 100654, 100663, 100690, 100706, 100751, 100858, 101189, 101709, 101879, 102049, 102368, 102614, 102669, 104151, 104179, 105330, 106245, 106397, 106458, 106467, 106704, 107044, 107141, 107983, 109785, 110361, 110413, 110422, 110486, 110495, 110510, 110529, 110538, 110547, 110556, 110565, 110574, 110583, 110592, 110608, 110617, 110644, 110653, 110662, 110671, 110680, 111948, 112075, 113698, 114813, 115083, 115728, 115755, 117140, 117627, 119173, 119605, 120184, 120537, 120883, 121150, 121309, 121691, 122409, 122436, 122597, 122612, 122755, 122931, 123554, 123572, 123961, 125897, 126182, 126562, 126580, 126614, 126669, 126818, 127060, 127918, 128498, 128744, 128771, 129020, 129242, 129525, 129941, 130226, 130253, 130314, 130493, 130776, 130943, 131113, 131159, 131450, 131469, 131876, 132471, 132657, 132903, 133553, 133650, 133669, 133881, 133951, 134079, 134130, 134945, 135081, 135726, 136172, 136215, 136330, 136950, 137032, 137351, 137476, 137546, 137564, 137847, 138354, 138716, 139199, 139311, 139366, 139658, 139755, 139764, 139861, 139931, 139959, 140818, 141264, 141334, 141486, 141574, 141644, 142115, 142276, 142285, 142461, 143118, 143358, 144351, 144740, 144892, 144962, 145336, 145600, 145619, 145813, 146339, 146612, 146719, 147013, 147536, 147660, 147679, 147703, 147767, 147776, 147828, 148335, 148405, 148487, 148496, 148584, 148627, 149222, 149231, 149772, 150066, 150145, 150163, 150677, 151263, 151306, 151324, 151388, 151801, 152336, 152600, 153278, 153603, 153658, 154013, 154235, 154493, 154688, 155025, 155061, 155089, 155317, 155335, 155399, 155520, 155681, 155812, 155900, 156082, 156125, 156286, 156365, 156541, 157377, 157951, 159391, 159647, 159717, 159939, 159966, 159993, 160612, 160621, 160658, 160755, 161253, 161518, 161554, 161563, 161873, 162007, 162584, 162760, 162928, 163046, 163204, 163286, 163453, 163462, 163851, 164447, 164492, 164562, 164632, 164739, 164924, 164988, 165015, 165024, 165167, 165334, 165529, 165820, 166513, 166629, 166638, 167358, 167729, 167783, 167899, 167987, 168005, 168254, 168421, 168430, 168740, 169248, 169479, 169716, 169798, 169983, 170037, 170675, 170976, 171100, 171137, 171146, 171571, 172051, 172264, 172334, 172644, 172699, 173045, 173160, 173328, 173665, 174020, 174066, 174491, 174783, 174817, 174914, 175005, 175078, 175272, 175342, 175421, 175616, 175856, 176017, 176044, 176053, 176080, 176372, 176479, 176628, 176965, 177214, 177339, 177418, 177968, 178244, 178624, 178721, 179043, 179159, 179557, 179566, 179867, 179894, 179964, 180489, 180814, 180948, 181394, 181464, 181604, 181783, 182281, 182290, 182795, 182980, 183026, 183080, 183211, 183910, 183974, 184603, 184612, 184773, 184782, 185129, 185262, 185572, 185590, 185828, 186201, 186283, 186380, 186432, 186867, 186876, 187046, 187444, 187648, 187897, 187985, 188030, 188182, 188304, 188429, 188641, 189705, 190044, 190114, 190150, 190415, 190512, 190549, 190637, 190716, 190761, 191241, 191649, 191931, 192192, 192323, 192448, 192703, 192819, 193016, 193292, 193353, 193399, 193654, 193900, 194091, 194161, 194310, 194958, 195003, 195128, 195164, 195234, 195544, 195720, 195809, 196060, 196079, 196088, 196097, 196130, 196176, 196194, 196264, 196291, 196413, 196592, 197045, 197197, 197869, 198136, 198464, 198516, 198543, 198561, 198835, 199032, 199102, 199120, 199139, 199148, 199157, 199193, 199218, 199281, 199306, 199412, 199847, 199962, 200004, 200217, 200253, 200280, 200332, 200800, 201104, 201195, 201441, 201548, 201645, 201885, 202134, 202480, 202763, 203368, 203517, 203580, 203757, 203775, 204024, 204194, 204200, 204617, 204796, 204857, 206048, 206084, 206279, 206349, 206437, 206604, 206622, 206695, 206835, 206862, 206941, 207263, 207388, 207458, 207500, 207847, 207865, 207971, 208646, 208822, 209409, 209542, 209551, 209612, 209807, 209825, 210146, 210739, 210775, 211158, 211352, 211361, 211431, 211556, 211644, 211981, 212054, 212106, 212133, 212601, 212656, 212832, 212984, 213020, 213367, 213507, 213543, 213598, 213826, 214272, 214777, 215062, 215442, 215691, 215743, 215929, 215947, 216010, 216038, 216339, 216597, 216694, 216764, 216852, 216931, 217059, 217165, 217235, 217402, 217484, 217536, 217633, 217688, 217776, 217819, 217882, 218441, 218663, 218724, 218964, 219383, 219471, 219602, 219709, 219806, 219833, 219949, 219976, 220075, 220516, 220613, 220631, 220862, 220978, 221740, 221759, 221768, 221838, 221847, 221953, 221971, 222178, 222831, 223232, 224004, 224147, 224226, 224323, 224545, 224554, 225399, 225414, 225432, 225502, 225511, 225627, 226091, 226152, 226231, 226471, 226833, 227216, 227331, 227526, 227757, 227845, 227863, 227881, 228149, 228246, 228325, 228431, 228459, 228529, 228705, 228723, 228769, 228778, 228787, 228796, 228802, 228875, 229027, 229063, 229115, 229179, 229780, 229814, 230038, 230603, 230728, 230737, 230764, 230782, 230807, 230852, 230995, 231174, 231624, 231651, 232043, 232186, 232265, 232423, 232557, 232609, 232681, 232706, 232982, 233541, 233921, 234030, 234076, 234915, 235097, 235316, 236133, 236230, 236452, 236595, 236939, 236948, 237011, 237066, 237367, 238032, 238193, 238430, 238458, 238616, 238661, 238980, 239080, 239105, 240107, 240268, 240365, 240453, 240462, 240471, 240727, 241739, 243346, 243601, 243780, 245953, 262086, 366711, 367884, 409698, 433387, 433660, 441937, 459727, 482149
#> $ instnm                        <chr> "Alabama A & M University", "University of Alabama at Birmingham", "Amridge University", "University of Alabama in Huntsville", "The University of Alabama", "Auburn University", "Faulkner University", "University of Montevallo", "University of North Alabama", "Samford University", "Troy University", "University of Alaska Fairbanks", "Alaska Pacific University", "Arizona State University-Tempe", "University of Arizona", "Northern Arizona University", "University of Arkansas at Little Rock", "University of Arkansas", "Arkansas State University-Main Campus", "Arkansas Tech University", "University of Central Arkansas", "Harding University", "John Brown University", "Southern Arkansas University Main Campus", "Azusa Pacific University", "California Baptist University", "California Lutheran University", "California Polytechnic State University-San Luis Obispo", "California State University-Bakersfield", "California State University-Stanislaus", "California State University-San Bernardino", "California State Polytechnic University-Pomona", "California State University-Chico", "California State University-Dominguez Hills", "California State University-Fresno", "California State University-Fullerton", "California State University-East Bay", "California State University-Long Beach", "California State University-Los Angeles", "California State University-Northridge", "California State University-Sacramento", "University of California-Davis", "University of California-Irvine", "University of California-Los Angeles", "University of California-Riverside", "University of California-San Diego", "Chapman University", "Concordia University-Irvine", "Dominican University of California", "Fresno Pacific University", "Golden Gate University-San Francisco", "Holy Names University", "Humboldt State University", "University of La Verne", "La Sierra University", "Mount Saint Mary's University", "National University", "Notre Dame de Namur University", "Hope International University", "University of the Pacific", "Pepperdine University", "Point Loma Nazarene University", "University of Redlands", "San Diego State University", "University of San Diego", "San Francisco State University", "University of San Francisco", "San Jose State University", "Santa Clara University", "Saint Mary's College of California", "Sonoma State University", "University of Southern California", "Woodbury University", "Adams State University", "University of Colorado Denver/Anschutz Medical Campus", "University of Colorado Colorado Springs", "University of Colorado Boulder", "Colorado Christian University", "Colorado State University-Fort Collins", "University of Denver", "Regis University", "Albertus Magnus College", "University of Bridgeport", "Central Connecticut State University", "University of Connecticut", "Fairfield University", "University of Hartford", "University of New Haven", "Quinnipiac University", "Sacred Heart University", "University of Saint Joseph", "Southern Connecticut State University", "Western Connecticut State University", "University of Delaware", "Wilmington University", "American University", "Gallaudet University", "George Washington University", "Trinity Washington University", "Barry University", "Lynn University", "University of Central Florida", "Embry-Riddle Aeronautical University-Daytona Beach", "Florida Agricultural and Mechanical University", "Florida Atlantic University", "Florida Institute of Technology", "Florida International University", "Florida Southern College", "University of Florida", "Jacksonville University", "Keiser University-Ft Lauderdale", "University of Miami", "University of North Florida", "Nova Southeastern University", "Palm Beach Atlantic University", "Rollins College", "Saint Leo University", "University of South Florida-Main Campus", "St. Thomas University", "Stetson University", "Southeastern University", "The University of Tampa", "The University of West Florida", "Albany State University", "Brenau University", "Clayton  State University", "Columbus State University", "Emory University", "Georgia Institute of Technology-Main Campus", "Georgia Southwestern State University", "Georgia College & State University", "Georgia Southern University", "University of Georgia", "Piedmont College", "Valdosta State University", "University of West Georgia", "Chaminade University of Honolulu", "University of Hawaii at Manoa", "Hawaii Pacific University", "Boise State University", "Idaho State University", "University of Idaho", "Northwest Nazarene University", "Aurora University", "Bradley University", "Concordia University-Chicago", "DePaul University", "Eastern Illinois University", "Elmhurst College", "Governors State University", "University of Illinois at Chicago", "Benedictine University", "Illinois State University", "Judson University", "Lewis University", "Loyola University Chicago", "McKendree University", "National Louis University", "North Central College", "North Park University", "Northern Illinois University", "Northwestern University", "Northeastern Illinois University", "Olivet Nazarene University", "Robert Morris University Illinois", "Rockford University", "Roosevelt University", "Dominican University", "University of St Francis", "Saint Xavier University", "Southern Illinois University-Carbondale", "Southern Illinois University-Edwardsville", "Western Illinois University", "Anderson University", "Bethel University", "Butler University", "Grace College and Theological Seminary", "University of Indianapolis", "University of Southern Indiana", "Indiana State University", "Indiana University-East", "Indiana Wesleyan University-Marion", "University of Saint Francis-Fort Wayne", "Valparaiso University", "University of Dubuque", "Iowa State University", "University of Iowa", "Mount Mercy University", "Saint Ambrose University", "Upper Iowa University", "Baker University", "Emporia State University", "Fort Hays State University", "Friends University", "University of Kansas", "Newman University", "Kansas State University", "MidAmerica Nazarene University", "Pittsburg State University", "University of Saint Mary", "Southwestern College", "Washburn University", "Wichita State University", "Bellarmine University", "Campbellsville University", "University of the Cumberlands", "Midway University", "Western Kentucky University", "Louisiana State University and Agricultural & Mechanical College", "Louisiana Tech University", "McNeese State University", "University of New Orleans", "Nicholls State University", "University of Louisiana at Monroe", "Southeastern Louisiana University", "Southern University and A & M College", "University of Louisiana at Lafayette", "Tulane University of Louisiana", "University of Maine", "Saint Joseph's College of Maine", "University of Southern Maine", "Thomas College", "University of Baltimore", "Bowie State University", "Frostburg State University", "Hood College", "Johns Hopkins University", "Loyola University Maryland", "University of Maryland Global Campus", "University of Maryland-College Park", "Morgan State University", "Mount St. Mary's University", "Salisbury University", "American International College", "Anna Maria College", "Assumption College", "Bay Path University", "Bentley University", "Boston College", "Boston University", "Brandeis University", "Bridgewater State University", "Cambridge College", "Clark University", "Curry College", "Fitchburg State University", "University of Massachusetts-Lowell", "University of Massachusetts-Amherst", "University of Massachusetts-Boston", "Northeastern University", "Salem State University", "Simmons University", "Springfield College", "University of Massachusetts-Dartmouth", "Suffolk University", "Western New England University", "Worcester Polytechnic Institute", "Worcester State University", "Andrews University", "Central Michigan University", "Davenport University", "University of Detroit Mercy", "Eastern Michigan University", "Kettering University", "Cornerstone University", "Lawrence Technological University", "University of Michigan-Ann Arbor", "Michigan State University", "University of Michigan-Dearborn", "University of Michigan-Flint", "Oakland University", "Saginaw Valley State University", "Siena Heights University", "Spring Arbor University", "Wayne State University", "Western Michigan University", "Augsburg University", "Bethel University", "Concordia University-Saint Paul", "Hamline University", "Metropolitan State University", "University of Minnesota-Twin Cities", "University of Northwestern-St Paul", "Saint Cloud State University", "Saint Mary's University of Minnesota", "University of St Thomas", "St Catherine University", "Southwest Minnesota State University", "Winona State University", "Alcorn State University", "Belhaven University", "Delta State University", "Jackson State University", "University of Mississippi", "Mississippi Valley State University", "Mississippi College", "Mississippi State University", "University of Southern Mississippi", "William Carey University", "Avila University", "University of Central Missouri", "Drury University", "Evangel University", "Fontbonne University", "Lindenwood University", "Missouri Baptist University", "Northwest Missouri State University", "Park University", "Rockhurst University", "Saint Louis University", "Southeast Missouri State University", "Missouri State University-Springfield", "Washington University in St Louis", "Webster University", "William Woods University", "The University of Montana", "Bellevue University", "Chadron State College", "University of Nebraska at Omaha", "University of Nebraska-Lincoln", "College of Saint Mary", "Wayne State College", "University of Nevada-Las Vegas", "University of Nevada-Reno", "Franklin Pierce University", "New England College", "Southern New Hampshire University", "Plymouth State University", "Rivier University", "Caldwell University", "Centenary University", "Fairlei...
#> $ control                       <dbl+lbl> 1, 1, 2, 1, 1, 1, 2, 1, 1, 2, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 2, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 1, 2, 1, 2, 2, 1, 2, 2, 1, 1, 1, 1, 2, 1, 2, 2, 2, 2, 1, 1, 2, 2, 2, 2, 2, 2, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 1, 2, 1, 1, 2, 1, 2, 1, 2, 2, 2, 1, 2, 2, 2, 2, 1, 2, 2, 2, 2, 1, 1, 2, 1, 1, 2, 1, 1, 1, 1, 1, 2, 1, 1, 2, 1, 2, 1, 1, 1, 2, 2, 2, 2, 2, 1, 2, 1, 1, 2, 1, 2, 2, 2, 2, 2, 2, 2, 1, 2, 1, 2, 2, 2, 2, 2, 2, 2, 1, 1, 1, 2, 2, 2, 2, 2, 1, 1, 1, 2, 2, 2, 2, 1, 1, 2, 2, 2, 2, 1, 1, 2, 1, 2, 1, 2, 1, 2, 2, 1, 1, 2, 2, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 2, 1, 2, 1, 1, 1, 2, 2, 2, 1, 1, 1, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 1, 1, 1, 1, 2, 1, 2, 2, 1, 2, 2, 2, 1, 2, 1, 2, 2, 1, 2, 2, 2, 1, 1, 1, 1, 1, 1, 2, 2, 1, 1, 2, 2, 2, 2, 1, 1, 2, 1, 2, 2, 2, 1, 1, 1, 2, 1, 1, 1, 1, 2, 1, 1, 2, 2, 1, 2, 2, 2, 2, 2, 1, 2, 2, 2, 1, 1, 2, 2, 2, 1, 2, 1, 1, 1, 2, 1, 1, 1, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 1, 1, 1, 2, 1, 1, 1, 2, 1, 2, 2, 1, 1, 1, 1, 1, 1, 1, 2, 1, 2, 2, 2, 2, 2, 2, 2, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 1, 2, 1, 2, 1, 2, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 1, 2, 1, 1, 1, 1, 2, 2, 1, 2, 2, 1, 1, 2, 2, 2, 1, 2, 2, 2, 1, 2, 2, 2, 1, 1, 2, 1, 2, 2, 2, 1, 2, 1, 2, 2, 1, 1, 1, 2, 1, 1, 1, 2, 1, 2, 2, 1, 1, 2, 1, 2, 1, 2, 2, 1, 2, 1, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 1, 2, 2, 1, 2, 2, 2, 2, 2, 2, 1, 1, 1, 2, 2, 1, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 1, 1, 2, 1, 1, 1, 2, 1, 1, 2, 2, 2, 2, 2, 1, 2, 2, 2, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 1, 2, 2, 1, 2, 2, 1, 1, 2, 1, 1, 1, 1, 2, 1, 1, 2, 2, 1, 1, 2, 1, 2, 2, 2, 1, 2, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 2, 1, 2, 1, 1, 1, 1, 1, 2, 2, 2, 1, 1, 2, 2, 1, 2, 1, 2, 2, 1, 2, 1, 2, 1, 1, 1, 2, 1, 2, 2, 2, 2, 2, 1, 1, 1, 2, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 1, 1, 1, 1, 1, 2, 2, 2, 1, 2, 2, 1, 2, 1, 2, 1, 1, 2, 1
#> $ ccbasic                       <dbl+lbl> 18, 15, 20, 16, 15, 15, 19, 19, 18, 17, 18, 16, 20, 15, 15, 16, 16, 15, 16, 18, 17, 17, 19, 18, 16, 18, 18, 18, 18, 18, 18, 18, 18, 18, 17, 18, 18, 18, 18, 18, 18, 15, 15, 15, 15, 15, 16, 18, 19, 18, 18, 19, 19, 17, 19, 18, 18, 19, 19, 17, 17, 18, 18, 16, 16, 18, 17, 18, 17, 18, 18, 15, 19, 18, 15, 16, 15, 19, 15, 16, 17, 19, 17, 18, 15, 18, 17, 18, 17, 17, 17, 18, 19, 15, 17, 16, 16, 15, 19, 17, 18, 15, 19, 16, 16, 16, 15, 19, 15, 18, 17, 15, 17, 16, 17, 18, 18, 15, 18, 18, 19, 18, 18, 19, 18, 19, 18, 15, 15, 19, 18, 16, 15, 18, 17, 17, 18, 15, 18, 16, 16, 16, 18, 17, 18, 18, 16, 18, 18, 18, 15, 17, 16, 20, 18, 16, 18, 17, 19, 18, 16, 15, 18, 18, 19, 20, 17, 18, 17, 18, 16, 17, 18, 19, 20, 18, 19, 17, 18, 17, 20, 20, 18, 17, 19, 15, 15, 19, 18, 18, 17, 18, 18, 18, 15, 18, 15, 19, 18, 19, 19, 17, 16, 17, 18, 17, 20, 17, 15, 16, 18, 16, 18, 17, 18, 18, 16, 15, 16, 18, 18, 20, 18, 18, 18, 18, 15, 18, 18, 15, 16, 19, 18, 18, 19, 19, 18, 18, 15, 15, 15, 18, 18, 16, 19, 18, 16, 15, 16, 15, 18, 17, 18, 16, 18, 17, 16, 18, 17, 16, 18, 17, 16, 19, 19, 18, 15, 15, 18, 17, 16, 18, 20, 18, 15, 16, 18, 17, 18, 18, 17, 15, 19, 18, 18, 17, 17, 19, 20, 19, 18, 18, 16, 15, 20, 17, 15, 15, 17, 19, 18, 19, 19, 18, 17, 18, 18, 18, 18, 16, 18, 17, 15, 18, 17, 16, 18, 19, 16, 15, 19, 19, 15, 15, 19, 18, 18, 18, 18, 19, 19, 18, 19, 19, 16, 18, 18, 18, 16, 15, 19, 18, 15, 18, 16, 18, 19, 18, 18, 18, 15, 16, 19, 18, 17, 18, 18, 16, 18, 15, 15, 18, 18, 18, 17, 20, 16, 17, 18, 19, 18, 17, 18, 18, 18, 18, 19, 20, 16, 15, 18, 18, 17, 18, 16, 17, 19, 18, 19, 17, 17, 15, 15, 15, 15, 18, 18, 18, 18, 20, 15, 17, 18, 19, 18, 17, 16, 17, 19, 17, 18, 20, 16, 15, 16, 16, 18, 15, 16, 18, 18, 18, 16, 17, 18, 17, 19, 16, 16, 16, 18, 18, 16, 19, 15, 15, 16, 16, 17, 19, 16, 19, 20, 19, 16, 19, 18, 18, 15, 16, 18, 16, 17, 19, 19, 16, 18, 18, 19, 18, 18, 18, 15, 17, 15, 18, 18, 16, 19, 17, 19, 15, 15, 17, 16, 19, 18, 18, 19, 18, 18, 18, 18, 17, 18, 20, 15, 16, 18, 17, 19, 19, 18, 17, 18, 20, 16, 19, 18, 18, 15, 15, 18, 19, 18, 18, 19, 18, 18, 15, 16, 19, 18, 17, 17, 20, 19, 18, 18, 16, 18, 19, 19, 18, 18, 15, 20, 15, 18, 18, 19, 16, 18, 17, 17, 18, 19, 17, 16, 18, 19, 17, 16, 17, 17, 15, 20, 16, 16, 19, 17, 18, 18, 16, 18, 16, 17, 18, 19, 17, 18, 18, 18, 18, 15, 17, 17, 18, 19, 18, 18, 15, 17, 18, 15, 18, 18, 17, 18, 16, 20, 17, 16, 18, 16, 15, 15, 15, 15, 15, 17, 16, 16, 16, 15, 17, 18, 18, 16, 18, 16, 20, 15, 18, 18, 18, 18, 16, 16, 17, 19, 15, 16, 18, 17, 19, 19, 18, 16, 17, 15, 15, 15, 18, 18, 17, 19, 19, 19, 17, 15, 15, 18, 19, 20, 15, 19, 17, 20, 17, 17, 18, 19, 16, 18, 19, 18, 15, 18, 19, 16, 18, 18, 17, 15, 19, 17, 18, 20, 19, 18, 18, 19, 18, 17
#> $ stabbr                        <chr> "AL", "AL", "AL", "AL", "AL", "AL", "AL", "AL", "AL", "AL", "AL", "AK", "AK", "AZ", "AZ", "AZ", "AR", "AR", "AR", "AR", "AR", "AR", "AR", "AR", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CO", "CO", "CO", "CO", "CO", "CO", "CO", "CO", "CT", "CT", "CT", "CT", "CT", "CT", "CT", "CT", "CT", "CT", "CT", "CT", "DE", "DE", "DC", "DC", "DC", "DC", "FL", "FL", "FL", "FL", "FL", "FL", "FL", "FL", "FL", "FL", "FL", "FL", "FL", "FL", "FL", "FL", "FL", "FL", "FL", "FL", "FL", "FL", "FL", "FL", "GA", "GA", "GA", "GA", "GA", "GA", "GA", "GA", "GA", "GA", "GA", "GA", "GA", "HI", "HI", "HI", "ID", "ID", "ID", "ID", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IN", "IN", "IN", "IN", "IN", "IN", "IN", "IN", "IN", "IN", "IN", "IA", "IA", "IA", "IA", "IA", "IA", "KS", "KS", "KS", "KS", "KS", "KS", "KS", "KS", "KS", "KS", "KS", "KS", "KS", "KY", "KY", "KY", "KY", "KY", "LA", "LA", "LA", "LA", "LA", "LA", "LA", "LA", "LA", "LA", "ME", "ME", "ME", "ME", "MD", "MD", "MD", "MD", "MD", "MD", "MD", "MD", "MD", "MD", "MD", "MA", "MA", "MA", "MA", "MA", "MA", "MA", "MA", "MA", "MA", "MA", "MA", "MA", "MA", "MA", "MA", "MA", "MA", "MA", "MA", "MA", "MA", "MA", "MA", "MA", "MI", "MI", "MI", "MI", "MI", "MI", "MI", "MI", "MI", "MI", "MI", "MI", "MI", "MI", "MI", "MI", "MI", "MI", "MN", "MN", "MN", "MN", "MN", "MN", "MN", "MN", "MN", "MN", "MN", "MN", "MN", "MS", "MS", "MS", "MS", "MS", "MS", "MS", "MS", "MS", "MS", "MO", "MO", "MO", "MO", "MO", "MO", "MO", "MO", "MO", "MO", "MO", "MO", "MO", "MO", "MO", "MO", "MT", "NE", "NE", "NE", "NE", "NE", "NE", "NV", "NV", "NH", "NH", "NH", "NH", "NH", "NJ", "NJ", "NJ", "NJ", "NJ", "NJ", "NJ", "NJ", "NJ", "NJ", "NJ", "NJ", "NJ", "NJ", "NJ", "NJ", "NJ", "NJ", "NJ", "NM", "NM", "NM", "NM", "NM", "NM", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NC", "NC", "NC", "NC", "NC", "NC", "NC", "NC", "NC", "NC", "NC", "NC", "NC", "NC", "NC", "NC", "NC", "NC", "NC", "NC", "NC", "ND", "ND", "ND", "ND", "OH", "OH", "OH", "OH", "OH", "OH", "OH", "OH", "OH", "OH", "OH", "OH", "OH", "OH", "OH", "OH", "OH", "OH", "OH", "OH", "OH", "OH", "OH", "OH", "OH", "OH", "OH", "OH", "OH", "OK", "OK", "OK", "OK", "OK", "OK", "OK", "OK", "OK", "OK", "OR", "OR", "OR", "OR", "OR", "OR", "OR", "OR", "OR", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "RI", "RI", "RI", "RI", "RI", "SC", "SC", "SC", "SC", "SC", "SC", "SC", "SC", "SC", "SD", "SD", "TN", "TN", "TN", "TN", "TN", "TN", "TN", "TN", "TN", "TN", "TN", "TN", "TN", "TN", "TN", "TN", "TN", "TN", "TN", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "UT", "UT", "UT", "UT", "UT", "UT", "UT", "VT", "VT", "VT", "VA", "VA", "VA", "VA", "VA", "VA", "VA", "VA", "VA", "VA", "VA", "VA", "VA", "VA", "VA", "WA", "WA", "WA", "WA", "WA", "WA", "WA", "WA", "WA", "WA", "WA", "WV", "WV", "WI", "WI", "WI", "WI", "WI", "WI", "WI", "WI", "WI", "WI", "WI", "WI", "WI", "WI", "WY", "PR", "PR", "PR", "IN", "OK", "CA", "CA", "FL", "CA", "UT", "FL", "CA", "CA", "GA"
#> $ region                        <dbl+lbl> 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 8, 8, 6, 6, 6, 5, 5, 5, 5, 5, 5, 5, 5, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 7, 7, 7, 7, 7, 7, 7, 7, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 8, 8, 8, 7, 7, 7, 7, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 7, 4, 4, 4, 4, 4, 4, 8, 8, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 6, 6, 6, 6, 6, 6, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 4, 4, 4, 4, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 8, 8, 8, 8, 8, 8, 8, 8, 8, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 1, 1, 1, 1, 5, 5, 5, 5, 5, 5, 5, 5, 5, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 7, 7, 7, 7, 7, 7, 7, 1, 1, 1, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 5, 5, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 7, 9, 9, 9, 3, 6, 8, 8, 5, 8, 7, 5, 8, 8, 5
#> $ city                          <chr> "Normal", "Birmingham", "Montgomery", "Huntsville", "Tuscaloosa", "Auburn", "Montgomery", "Montevallo", "Florence", "Birmingham", "Troy", "Fairbanks", "Anchorage", "Tempe", "Tucson", "Flagstaff", "Little Rock", "Fayetteville", "Jonesboro", "Russellville", "Conway", "Searcy", "Siloam Springs", "Magnolia", "Azusa", "Riverside", "Thousand Oaks", "San Luis Obispo", "Bakersfield", "Turlock", "San Bernardino", "Pomona", "Chico", "Carson", "Fresno", "Fullerton", "Hayward", "Long Beach", "Los Angeles", "Northridge", "Sacramento", "Davis", "Irvine", "Los Angeles", "Riverside", "La Jolla", "Orange", "Irvine", "San Rafael", "Fresno", "San Francisco", "Oakland", "Arcata", "La Verne", "Riverside", "Los Angeles", "La Jolla", "Belmont", "Fullerton", "Stockton", "Malibu", "San Diego", "Redlands", "San Diego", "San Diego", "San Francisco", "San Francisco", "San Jose", "Santa Clara", "Moraga", "Rohnert Park", "Los Angeles", "Burbank", "Alamosa", "Denver", "Colorado Springs", "Boulder", "Lakewood", "Fort Collins", "Denver", "Denver", "New Haven", "Bridgeport", "New Britain", "Storrs", "Fairfield", "West Hartford", "West Haven", "Hamden", "Fairfield", "West Hartford", "New Haven", "Danbury", "Newark", "New Castle", "Washington", "Washington", "Washington", "Washington", "Miami", "Boca Raton", "Orlando", "Daytona Beach", "Tallahassee", "Boca Raton", "Melbourne", "Miami", "Lakeland", "Gainesville", "Jacksonville", "Fort Lauderdale", "Coral Gables", "Jacksonville", "Fort Lauderdale", "West Palm Beach", "Winter Park", "Saint Leo", "Tampa", "Miami Gardens", "DeLand", "Lakeland", "Tampa", "Pensacola", "Albany", "Gainesville", "Morrow", "Columbus", "Atlanta", "Atlanta", "Americus", "Milledgeville", "Statesboro", "Athens", "Demorest", "Valdosta", "Carrollton", "Honolulu", "Honolulu", "Honolulu", "Boise", "Pocatello", "Moscow", "Nampa", "Aurora", "Peoria", "River Forest", "Chicago", "Charleston", "Elmhurst", "University Park", "Chicago", "Lisle", "Normal", "Elgin", "Romeoville", "Chicago", "Lebanon", "Chicago", "Naperville", "Chicago", "Dekalb", "Evanston", "Chicago", "Bourbonnais", "Chicago", "Rockford", "Chicago", "River Forest", "Joliet", "Chicago", "Carbondale", "Edwardsville", "Macomb", "Anderson", "Mishawaka", "Indianapolis", "Winona Lake", "Indianapolis", "Evansville", "Terre Haute", "Richmond", "Marion", "Fort Wayne", "Valparaiso", "Dubuque", "Ames", "Iowa City", "Cedar Rapids", "Davenport", "Fayette", "Baldwin City", "Emporia", "Hays", "Wichita", "Lawrence", "Wichita", "Manhattan", "Olathe", "Pittsburg", "Leavenworth", "Winfield", "Topeka", "Wichita", "Louisville", "Campbellsville", "Williamsburg", "Midway", "Bowling Green", "Baton Rouge", "Ruston", "Lake Charles", "New Orleans", "Thibodaux", "Monroe", "Hammond", "Baton Rouge", "Lafayette", "New Orleans", "Orono", "Standish", "Portland", "Waterville", "Baltimore", "Bowie", "Frostburg", "Frederick", "Baltimore", "Baltimore", "Adelphi", "College Park", "Baltimore", "Emmitsburg", "Salisbury", "Springfield", "Paxton", "Worcester", "Longmeadow", "Waltham", "Chestnut Hill", "Boston", "Waltham", "Bridgewater", "Boston", "Worcester", "Milton", "Fitchburg", "Lowell", "Amherst", "Boston", "Boston", "Salem", "Boston", "Springfield", "North Dartmouth", "Boston", "Springfield", "Worcester", "Worcester", "Berrien Springs", "Mount Pleasant", "Grand Rapids", "Detroit", "Ypsilanti", "Flint", "Grand Rapids", "Southfield", "Ann Arbor", "East Lansing", "Dearborn", "Flint", "Rochester Hills", "University Center", "Adrian", "Spring Arbor", "Detroit", "Kalamazoo", "Minneapolis", "Saint Paul", "Saint Paul", "Saint Paul", "Saint Paul", "Minneapolis", "Saint Paul", "Saint Cloud", "Winona", "Saint Paul", "Saint Paul", "Marshall", "Winona", "Alcorn State", "Jackson", "Cleveland", "Jackson", "University", "Itta Bena", "Clinton", "Mississippi State", "Hattiesburg", "Hattiesburg", "Kansas City", "Warrensburg", "Springfield", "Springfield", "Saint Louis", "Saint Charles", "Saint Louis", "Maryville", "Parkville", "Kansas City", "Saint Louis", "Cape Girardeau", "Springfield", "Saint Louis", "Saint Louis", "Fulton", "Missoula", "Bellevue", "Chadron", "Omaha", "Lincoln", "Omaha", "Wayne", "Las Vegas", "Reno", "Rindge", "Henniker", "Manchester", "Plymouth", "Nashua", "Caldwell", "Hackettstown", "Teaneck", "Lodi", "Lakewood", "Glassboro", "Jersey City", "Union", "West Long Branch", "Montclair", "Newark", "Mahwah", "Lawrenceville", "New Brunswick", "Jersey City", "Hoboken", "Galloway", "Trenton", "Wayne", "Portales", "Las Vegas", "Albuquerque", "Las Cruces", "Hobbs", "Silver City", "Garden City", "Alfred", "Buffalo", "Potsdam", "New York", "New York", "Ithaca", "New York", "Brooklyn", "Bronx", "Buffalo", "Orangeburg", "Bronx", "Hempstead", "New Rochelle", "Keuka Park", "Syracuse", "Brookville", "Riverdale", "Poughkeepsie", "Dobbs Ferry", "Rockville Centre", "Newburgh", "Bronx", "New York", "New York", "Old Westbury", "New York", "New York", "Rochester", "Rochester", "Troy", "Saint Bonaventure", "Albany", "Brooklyn", "Rochester", "Queens", "Albany", "Vestal", "Buffalo", "Stony Brook", "Buffalo", "New Paltz", "Oswego", "Saratoga Springs", "Throggs Neck", "Syracuse", "New York", "Utica", "Staten Island", "Boone", "Buies Creek", "Greenville", "Elon", "Fayetteville", "Boiling Springs", "Hickory", "Montreat", "Greensboro", "Chapel Hill", "Charlotte", "Greensboro", "Durham", "Raleigh", "Wilmington", "Pembroke", "Misenheimer", "Charlotte", "Winston-Salem", "Wingate", "Cullowhee", "Bismarck", "Minot", "Grand Forks", "Fargo", "Akron", "Ashland", "Berea", "Bowling Green", "Columbus", "Cleveland", "Cincinnati", "Cleveland", "Dayton", "Findlay", "University Heights", "Kent", "Painesville", "Sylvania", "Canton", "Oxford", "Mount Vernon", "Cincinnati", "Columbus", "Columbus", "Athens", "Tiffin", "Toledo", "Cincinnati", "Pepper Pike", "North Canton", "Dayton", "Cincinnati", "Youngstown", "Bartlesville", "Bethany", "Edmond", "Tahlequah", "Stillwater", "Oklahoma City", "Norman", "Durant", "Weatherford", "Tulsa", "La Grande", "Newberg", "Eugene", "Corvallis", "Eugene", "Forest Grove", "Portland", "Portland", "Ashland", "Center Valley", "Reading", "Bloomsburg", "Radnor", "California", "Pittsburgh", "Pittsburgh", "Clarion", "Doylestown", "Philadelphia", "Pittsburgh", "Saint Davids", "Erie", "Beaver Falls", "Gwynedd Valley", "Philadelphia", "Indiana", "Philadelphia", "Annville", "Bethlehem", "Lincoln University", "Scranton", "Aston", "University Park", "Philadelphia", "Pittsburgh", "Rosemont", "Loretto", "Scranton", "Greensburg", "Shippensburg", "Slippery Rock", "Philadelphia", "Villanova", "Waynesburg", "West Chester", "Chester", "Wilkes-Barre", "York", "Smithfield", "Providence", "Providence", "Kingston", "Newport", "Anderson", "Charleston", "Central", "Charleston", "Clemson", "Tigerville", "Columbia", "Conway", "Rock Hill", "Sioux Falls", "Vermillion", "Clarksville", "Nashville", "Jefferson City", "Memphis", "Lebanon", "Nashville", "Johnson City", "Bristol", "Cleveland", "Harrogate", "Memphis", "Murfreesboro", "Chattanooga", "Knoxville", "Martin", "Nashville", "Cookeville", "Greeneville", "Jackson", "Abilene", "San Angelo", "Waco", "Austin", "Corpus Christi", "Dallas", "Irving", "Texarkana", "Commerce", "Houston", "Houston", "Houston", "Victoria", "Houston", "San Antonio", "Beaumont", "Laredo", "Longview", "Belton", "Wichita Falls", "Denton", "San Antonio", "Prairie View", "Houston", "Austin", "Houston", "Huntsville", "San Antonio", "Dallas", "Waxahachie", "Nacogdoches", "San Marcos", "Stephenville", "Kingsville", "College Station", "Arlington", "Austin", "Richardson", "El Paso", "Tyler", "Fort Worth", "San Antonio", "Houston", "Lubbock", "Denton", "Plainview", "Canyon", "Provo", "Cedar City", "Logan", "Orem", "Salt Lake City", "Ogden", "Salt Lake City", "Burlington", "Northfield", "Burlington", "Williamsburg", "Virginia Beach", "Harrisonburg", "Fairfax", "Hampton", "Harrisonburg", "Lynchburg", "Lynchburg", "Fredericksburg", "Arlington", "Norfolk", "Winchester", "Blacksburg", "Richmond", "Charlottesville", "Seattle", "Cheney", "Spokane", "Kirkland", "Tacoma", "Lacey", "Seattle", "Pullman", "Seattle", "Bellingham", "Spokane", "Fairmont", "Morgantown", "Milwaukee", "Milwaukee", "Waukesha", "Mequon", "Madison", "Plymouth", "Fond Du Lac", "Milwaukee", "La Crosse", "Eau Claire", "Oshkosh", "Milwaukee", "Platteville", "River Falls", "Laramie", "San Juan", "Carolina", "Gurabo", "West Lafayette", "Oklahoma City", "Irvine", "San Marcos", "Naples", "Seaside", "Salt Lake City", "Fort Myers", "Camarillo", "Los Alamitos", "Augusta"
#> $ locale                        <dbl+lbl> 12, 12, 12, 12, 12, 13, 12, 21, 13, 21, 33, 23, 11, 12, 11, 13, 12, 13, 13, 33, 13, 32, 32, 33, 21, 11, 12, 23, 11, 23, 12, 21, 13, 13, 11, 21, 21, 11, 11, 11, 11, 23, 11, 11, 11, 11, 12, 11, 13, 11, 11, 11, 33, 21, 11, 11, 11, 21, 21, 11, 21, 11, 13, 11, 11, 11, 11, 11, 12, 21, 21, 11, 11, 33, 11, 11, 12, 12, 12, 11, 11, 12, 12, 21, 21, 21, 12, 21, 21, 21, 21, 12, 13, 21, 21, 11, 11, 11, 11, 21, 13, 21, 13, 12, 13, 13, 21, 12, 12, 11, 12, 13, 11, 21, 12, 21, 23, 11, 21, 13, 12, 11, 13, 13, 13, 21, 12, 11, 11, 32, 32, 32, 12, 32, 13, 31, 11, 11, 11, 12, 13, 32, 22, 21, 12, 21, 11, 32, 21, 41, 11, 21, 22, 12, 21, 11, 21, 11, 12, 11, 23, 13, 11, 23, 11, 12, 11, 21, 21, 11, 13, 21, 33, 13, 13, 11, 32, 11, 22, 13, 41, 32, 11, 21, 13, 13, 13, 12, 12, 43, 31, 33, 33, 11, 13, 11, 13, 21, 32, 31, 32, 12, 11, 11, 32, 33, 42, 13, 12, 32, 13, 11, 13, 13, 13, 12, 12, 11, 23, 41, 13, 41, 11, 21, 23, 13, 11, 11, 21, 21, 11, 31, 23, 12, 41, 12, 21, 13, 13, 11, 13, 21, 11, 12, 21, 22, 21, 21, 11, 11, 21, 11, 12, 22, 11, 12, 12, 12, 31, 32, 21, 11, 21, 13, 12, 13, 12, 13, 13, 13, 21, 22, 32, 23, 11, 13, 11, 21, 11, 11, 11, 11, 21, 13, 32, 11, 11, 33, 32, 43, 12, 33, 12, 33, 33, 21, 33, 13, 13, 11, 32, 12, 12, 21, 13, 21, 33, 21, 11, 11, 13, 12, 21, 21, 32, 13, 21, 33, 11, 11, 11, 32, 12, 11, 41, 42, 22, 33, 13, 21, 21, 21, 21, 13, 21, 11, 21, 21, 21, 11, 21, 21, 13, 11, 21, 22, 13, 21, 33, 33, 11, 22, 41, 33, 21, 33, 11, 33, 11, 11, 13, 11, 11, 11, 11, 21, 11, 21, 21, 32, 21, 21, 11, 21, 21, 21, 13, 11, 11, 11, 21, 11, 11, 21, 21, 13, 33, 13, 11, 21, 11, 13, 22, 21, 21, 11, 21, 32, 23, 11, 12, 11, 13, 11, 32, 31, 13, 22, 12, 32, 13, 21, 11, 13, 11, 11, 11, 11, 12, 32, 42, 11, 12, 21, 32, 41, 33, 13, 12, 12, 31, 21, 31, 21, 11, 11, 11, 12, 32, 21, 21, 21, 21, 13, 31, 32, 21, 11, 11, 32, 32, 11, 11, 21, 21, 21, 11, 13, 32, 21, 21, 33, 32, 11, 22, 32, 33, 11, 33, 31, 12, 13, 12, 21, 11, 11, 22, 41, 13, 13, 21, 23, 11, 11, 33, 21, 11, 11, 21, 13, 21, 21, 11, 32, 11, 23, 13, 21, 13, 21, 13, 11, 11, 21, 31, 13, 21, 31, 32, 11, 21, 32, 21, 21, 13, 22, 21, 12, 12, 21, 21, 13, 12, 21, 12, 21, 41, 12, 13, 13, 12, 32, 12, 11, 23, 11, 31, 11, 13, 13, 13, 32, 11, 12, 12, 12, 33, 11, 33, 32, 13, 12, 12, 12, 11, 11, 11, 12, 41, 32, 11, 21, 11, 13, 11, 11, 12, 11, 13, 23, 12, 12, 11, 32, 11, 11, 11, 32, 11, 21, 21, 33, 13, 33, 32, 12, 11, 11, 12, 11, 12, 11, 11, 11, 11, 12, 33, 31, 12, 33, 13, 13, 12, 13, 12, 13, 32, 13, 23, 11, 13, 21, 12, 13, 13, 13, 22, 12, 12, 13, 13, 12, 23, 11, 31, 12, 21, 21, 13, 11, 32, 11, 13, 21, 32, 13, 11, 21, 13, 21, 11, 41, 13, 11, 13, 13, 13, 11, 32, 32, 33, 11, 21, 21, 13, 11, 11, 21, 21, 22, 21, 21, 22, 21, 12
#> $ urban                         <dbl+lbl> 2, 2, 2, 2, 2, 2, 2, 3, 2, 3, 4, 3, 1, 2, 1, 2, 2, 2, 2, 4, 2, 4, 4, 4, 3, 1, 2, 3, 1, 3, 2, 3, 2, 2, 1, 3, 3, 1, 1, 1, 1, 3, 1, 1, 1, 1, 2, 1, 2, 1, 1, 1, 4, 3, 1, 1, 1, 3, 3, 1, 3, 1, 2, 1, 1, 1, 1, 1, 2, 3, 3, 1, 1, 4, 1, 1, 2, 2, 2, 1, 1, 2, 2, 3, 3, 3, 2, 3, 3, 3, 3, 2, 2, 3, 3, 1, 1, 1, 1, 3, 2, 3, 2, 2, 2, 2, 3, 2, 2, 1, 2, 2, 1, 3, 2, 3, 3, 1, 3, 2, 2, 1, 2, 2, 2, 3, 2, 1, 1, 4, 4, 4, 2, 4, 2, 4, 1, 1, 1, 2, 2, 4, 3, 3, 2, 3, 1, 4, 3, 4, 1, 3, 3, 2, 3, 1, 3, 1, 2, 1, 3, 2, 1, 3, 1, 2, 1, 3, 3, 1, 2, 3, 4, 2, 2, 1, 4, 1, 3, 2, 4, 4, 1, 3, 2, 2, 2, 2, 2, 4, 4, 4, 4, 1, 2, 1, 2, 3, 4, 4, 4, 2, 1, 1, 4, 4, 4, 2, 2, 4, 2, 1, 2, 2, 2, 2, 2, 1, 3, 4, 2, 4, 1, 3, 3, 2, 1, 1, 3, 3, 1, 4, 3, 2, 4, 2, 3, 2, 2, 1, 2, 3, 1, 2, 3, 3, 3, 3, 1, 1, 3, 1, 2, 3, 1, 2, 2, 2, 4, 4, 3, 1, 3, 2, 2, 2, 2, 2, 2, 2, 3, 3, 4, 3, 1, 2, 1, 3, 1, 1, 1, 1, 3, 2, 4, 1, 1, 4, 4, 4, 2, 4, 2, 4, 4, 3, 4, 2, 2, 1, 4, 2, 2, 3, 2, 3, 4, 3, 1, 1, 2, 2, 3, 3, 4, 2, 3, 4, 1, 1, 1, 4, 2, 1, 4, 4, 3, 4, 2, 3, 3, 3, 3, 2, 3, 1, 3, 3, 3, 1, 3, 3, 2, 1, 3, 3, 2, 3, 4, 4, 1, 3, 4, 4, 3, 4, 1, 4, 1, 1, 2, 1, 1, 1, 1, 3, 1, 3, 3, 4, 3, 3, 1, 3, 3, 3, 2, 1, 1, 1, 3, 1, 1, 3, 3, 2, 4, 2, 1, 3, 1, 2, 3, 3, 3, 1, 3, 4, 3, 1, 2, 1, 2, 1, 4, 4, 2, 3, 2, 4, 2, 3, 1, 2, 1, 1, 1, 1, 2, 4, 4, 1, 2, 3, 4, 4, 4, 2, 2, 2, 4, 3, 4, 3, 1, 1, 1, 2, 4, 3, 3, 3, 3, 2, 4, 4, 3, 1, 1, 4, 4, 1, 1, 3, 3, 3, 1, 2, 4, 3, 3, 4, 4, 1, 3, 4, 4, 1, 4, 4, 2, 2, 2, 3, 1, 1, 3, 4, 2, 2, 3, 3, 1, 1, 4, 3, 1, 1, 3, 2, 3, 3, 1, 4, 1, 3, 2, 3, 2, 3, 2, 1, 1, 3, 4, 2, 3, 4, 4, 1, 3, 4, 3, 3, 2, 3, 3, 2, 2, 3, 3, 2, 2, 3, 2, 3, 4, 2, 2, 2, 2, 4, 2, 1, 3, 1, 4, 1, 2, 2, 2, 4, 1, 2, 2, 2, 4, 1, 4, 4, 2, 2, 2, 2, 1, 1, 1, 2, 4, 4, 1, 3, 1, 2, 1, 1, 2, 1, 2, 3, 2, 2, 1, 4, 1, 1, 1, 4, 1, 3, 3, 4, 2, 4, 4, 2, 1, 1, 2, 1, 2, 1, 1, 1, 1, 2, 4, 4, 2, 4, 2, 2, 2, 2, 2, 2, 4, 2, 3, 1, 2, 3, 2, 2, 2, 2, 3, 2, 2, 2, 2, 2, 3, 1, 4, 2, 3, 3, 2, 1, 4, 1, 2, 3, 4, 2, 1, 3, 2, 3, 1, 4, 2, 1, 2, 2, 2, 1, 4, 4, 4, 1, 3, 3, 2, 1, 1, 3, 3, 3, 3, 3, 3, 3, 2
#> $ cipdig2                       <chr> "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52"
#> $ cipcode                       <chr> "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", 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#> $ creddesc                      <chr> "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's 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Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "...
#> $ ipedscount1                   <dbl> 30, 115, 23, 95, 152, 210, 31, 23, 116, 44, 134, 42, 13, 444, 212, 118, 62, 123, 58, 15, 45, 66, 127, 22, 22, 168, 83, 24, 47, 55, 139, 17, 30, 55, 78, 168, 158, 103, 36, 43, 164, 155, 251, 862, 73, 126, 101, 73, 36, 12, 106, 11, 22, 370, 36, 37, 336, 37, 9, 44, 589, 79, 520, 211, 127, 73, 103, 114, 151, 162, 64, 640, 66, 29, 273, 91, 139, 67, 312, 44, 345, 96, 109, 29, 253, 21, 120, 148, 266, 65, 7, 67, NA, 159, 79, 56, 20, 372, 28, 85, 245, 81, 43, 49, 243, 374, 597, 34, 724, 25, 130, 232, 113, 706, 65, 134, 764, 127, 119, 65, 48, 164, 86, 24, 105, 77, 25, 399, 308, 15, 21, 103, 245, 37, 32, 100, 33, 142, 80, 120, 56, 14, 33, 87, 24, 91, 158, 48, 63, 17, 213, 434, 43, 65, 213, 215, 90, 77, 35, 110, 215, 468, 20, 79, 170, 49, 143, 69, 48, 43, 56, 65, 42, 102, 24, 63, 32, 74, 36, 48, 9, NA, 101, 40, 143, 64, 271, 44, 104, 105, 192, 45, 53, 97, 119, 45, 39, 43, 30, 87, 45, 44, 80, 51, 8, 66, 32, 128, 131, 51, 28, 76, 42, 24, 60, 44, 78, 68, 25, 19, 26, 49, 146, 0, 75, 42, 117, 122, 1934, 493, 76, 73, 40, 32, 31, 90, 86, 72, 239, 568, 140, 14, 94, 102, 32, 40, 219, 382, 124, NA, 36, 60, 22, 162, 111, 50, 74, 17, 23, 430, 338, 52, 40, 70, 44, 51, 787, 264, 65, 59, 117, 34, 27, 90, 166, 96, 72, 33, 93, 113, 72, 523, 45, 47, 160, 348, 50, 83, 27, 23, 194, 82, 19, 83, 22, 23, 93, 61, 45, 47, 29, 28, 18, 53, 42, 74, 53, 172, 158, 120, 56, 319, 407, 2045, 92, 52, 345, 73, 103, 87, 18, 23, 82, 122, 27, 24, 1408, 80, 23, 19, 62, 263, 20, 33, 56, 28, 30, 61, 108, 83, 34, 56, NA, 13, 134, 48, 74, 73, 95, 75, 175, 79, 18, 14, 144, 27, 103, 81, 158, 1205, 666, 130, 129, 37, 15, 11, 299, 74, 41, 24, 51, 57, NA, 58, 194, 53, 27, 9, 38, 1062, 208, 33, 28, 29, 120, 46, 60, 46, 36, 69, 126, 102, 101, 217, 71, 23, 29, 113, 71, 82, 162, 22, 17, 25, 62, 70, 191, 30, 40, 56, 45, 25, 16, 742, 128, 55, 32, 225, 53, 24, 83, 132, 291, 49, 56, 118, 32, 43, 31, 103, 183, 70, 21, 75, 159, 179, 218, 88, 195, 55, 61, 79, 18, 62, 53, 85, 24, 93, 344, 284, 49, 96, 43, 11, 66, 155, 138, 50, 78, 130, 45, 53, 140, 41, 118, 30, 47, 36, 43, 61, 33, 99, 159, 14, 94, 44, 34, 123, 58, 21, 10, 74, 54, 20, 33, 26, 19, 184, 75, 47, 49, NA, 38, 176, 57, 32, 35, 12, 21, 50, 88, 545, 103, 35, 49, 110, 42, 105, 27, 228, 373, 79, 78, 48, 77, 17, 8, 255, 87, 94, 63, 42, 71, 39, 46, 158, 48, 176, 52, 59, 51, 97, 32, 18, 36, 47, 52, 117, 73, 172, 28, 42, 133, 102, 103, 233, 38, 46, 77, 38, 66, NA, 26, 198, 58, 258, 206, 168, 62, 437, 51, 82, 283, 155, 287, 387, 63, 45, 33, 28, 20, 127, 102, 63, 331, 121, 99, 91, 28, 150, 10, 15, 107, 111, 43, 295, 303, 658, 337, 94, 350, 143, 100, 80, 276, 365, 216, 233, 228, 29, 126, 0, 298, 57, 114, 203, 179, 16, 182, 61, 21, 139, 29, 39, 1498, 36, 28, 43, 40, 35, 96, 102, 424, 208, 30, 152, 28, 40, 48, 237, 288, 407, 21, 33, 19, 34, 15, 172, 15, 135, 32, 115, 34, 105, 59, 55, 79, 243, 115, 45, 42, 120, 44, 159, 336, 89, 432, 46, 36, 75, 2336, 40, 40, NA, 38
#> $ ipedscount2                   <dbl> 27, 133, 23, 89, 185, 247, 74, 19, 182, 48, 126, 34, 28, 299, 214, 121, 66, 128, 42, 8, 65, 56, 99, 38, 38, 235, 91, 38, 33, 69, 134, 24, 34, 58, 69, 99, 168, 131, 43, 49, 114, 172, 231, 808, 94, 120, 117, 59, 25, 11, 80, 13, 29, 393, 20, 29, 282, 54, 17, 32, 608, 85, 426, 169, 132, 81, 132, 118, 131, 151, 62, 670, 74, 29, 290, 88, 152, 92, 307, 55, 297, 88, 108, 27, 277, 38, 101, 130, 267, 82, 17, 59, NA, 140, 631, 117, 16, 381, 20, 130, 240, 67, 41, 58, 274, 386, 620, 33, 715, 37, 138, 239, 110, 686, 39, 182, 771, 148, 126, 46, 76, 139, 126, 27, 68, 83, 26, 421, 347, 29, 37, 118, 255, 23, 40, 101, 64, 127, 58, 145, 60, 9, 35, 106, 36, 169, 192, 55, 70, 29, 195, 345, 54, 37, 211, 207, 78, 23, 25, 79, 243, 481, 27, 67, 177, 38, 123, 52, 56, 28, 71, 67, 38, 109, 45, 46, 48, 83, 144, 70, 6, NA, 78, 27, 139, 67, 321, 51, 70, 123, 142, 37, 50, 89, 179, 41, 43, 69, 37, 113, 34, 23, 48, 48, 16, 106, 45, 180, 147, 47, 26, 53, 27, 36, 60, 48, 46, 64, 28, 15, 39, 57, 132, 0, 70, 32, 137, 141, 2309, 499, 46, 67, 36, 28, 20, 70, 93, 131, 248, 598, 87, 17, 66, 96, 29, 61, 257, 418, 132, NA, 23, 31, 17, 135, 119, 54, 54, 34, 18, 394, 296, 52, 45, 54, 46, 51, 763, 304, 56, 68, 99, 36, 24, 87, 261, 98, 145, 49, 160, 123, 65, 492, 45, 32, 229, 263, 52, 94, 25, 27, 281, 77, 33, 88, 22, 25, 96, 54, 21, 55, 32, 29, 14, 61, 80, 56, 46, 187, 185, 98, 43, 287, 367, 1790, 73, 68, 294, 74, 95, 120, 16, 20, 80, 129, 27, 50, 2074, 41, 30, 0, 81, 228, 13, 27, 71, 51, 24, 99, 140, 66, 30, 80, NA, 17, 123, 57, 86, 95, 74, 84, 193, 54, 23, 22, 158, 29, 100, 79, 133, 1216, 684, 163, 151, 34, 6, 12, 258, 72, 45, 35, 59, 135, NA, 48, 222, 47, 34, 17, 48, 1078, 274, 26, 40, 41, 134, 42, 55, 55, 29, 88, 138, 137, 118, 189, 48, 25, 27, 75, 117, 75, 344, 25, 44, 18, 55, 58, 209, 39, 60, 50, 54, 28, 25, 793, 98, 50, 23, 261, 74, 27, 61, 77, 270, 31, 63, 135, 42, 27, 24, 64, 225, 94, 21, 62, 156, 197, 225, 72, 158, 63, 71, 57, 21, 60, 50, 70, 42, 67, 308, 361, 56, 86, 42, 9, 39, 163, 139, 61, 44, 117, 27, 22, 144, 113, 134, 55, 34, 37, 43, 85, 34, 82, 214, 11, 108, 57, 30, 128, 58, 26, 20, 75, 58, 23, 39, 42, 26, 153, 66, 40, 24, 35, 54, 188, 45, 37, 54, 18, 14, 34, 116, 549, 126, 41, 29, 124, 31, 104, 14, 358, 265, 57, 132, 57, 49, 8, 24, 266, 97, 90, 74, 58, 79, 26, 42, 188, 39, 182, 46, 77, 92, 69, 30, 17, 56, 32, 48, 137, 55, 103, 32, 58, 119, 78, 121, 224, 35, 38, 88, 37, 44, 24, 62, 202, 92, 240, 82, 154, 52, 375, 32, 82, 434, 175, 255, 405, 68, 67, 27, 28, 18, 143, 76, 69, 315, 95, 107, 79, 34, 185, 24, 16, 87, 109, 45, 302, 390, 645, 373, 99, 393, 129, 119, 58, 239, 356, 207, 279, 223, 38, 138, 18, 305, 88, 102, 259, 171, 23, 302, 103, 16, 137, 29, 38, 1468, 29, 44, 52, 47, 47, 135, 98, 463, 134, 48, 159, 33, 28, 32, 212, 289, 401, 55, 28, 13, 42, 23, 140, 37, 229, 28, 119, 33, 126, 50, 73, 86, 217, 119, 31, 62, 114, 49, 170, 307, 68, 374, 60, 19, 79, 3209, 34, 39, NA, 31
#> $ debt_all_stgp_eval_n          <dbl> 43, 70, 17, 39, 103, 139, 61, 14, 105, 10, 77, 22, 14, 409, 172, 123, 43, 97, 25, 11, 28, 39, 121, 16, NA, 110, 11, 16, 24, 65, 110, 10, 19, 38, 83, 71, 87, 99, 33, 40, 119, 123, 222, 509, 27, 59, 67, 48, 25, 15, 38, 14, 26, 116, 32, 57, 241, 41, 12, 11, 330, 77, 402, 73, 69, 46, 78, 34, 73, 120, 32, 464, 62, 25, 232, 73, 102, 64, 137, 26, 226, 57, 60, 17, 96, 13, 40, 17, 200, 30, 11, 74, NA, 69, 29, 121, 16, 226, 44, 60, 203, 64, 270, 56, 285, 146, 728, 38, 619, 18, 204, 170, 81, 874, 15, 130, 903, 186, 94, 27, 35, 80, 50, 41, 118, 85, 22, 160, 288, 26, 22, 86, 146, 26, 24, 97, 26, 49, 20, 106, 37, 15, 36, 105, 16, 112, 308, 24, 46, 20, 78, 435, 20, 22, 46, 128, 65, 48, 18, 57, 146, 121, 12, 70, 225, 15, 119, 63, 44, 33, 31, 33, 25, 116, 39, 14, 34, 53, 54, 43, 11, 475, 94, 30, 101, 50, 50, 32, 55, 86, 123, 21, 27, 111, 74, 15, 23, 56, 17, 73, 31, 16, 32, 12, 15, 48, 48, 70, 35, 25, 12, 68, 14, 12, 50, 64, 24, 31, 17, 12, 29, 39, 101, NA, 45, 16, 56, 67, 1463, 302, 40, 38, 22, 36, 17, 55, 43, 49, 124, 285, 56, 12, 32, 29, 31, 30, 79, 131, 65, 113, 10, 45, 40, 41, 82, 20, 21, 10, 14, 227, 369, 33, 42, 26, 19, 23, 527, 222, 27, 38, 44, 12, 32, 23, 130, 45, 101, 35, 203, 104, 61, 363, 26, 23, 180, 203, 42, 14, 12, 27, 285, 21, 30, 17, 14, 24, 48, 23, 15, 42, 18, 18, 18, 52, 36, 71, 31, 150, 103, 56, 26, 30, 231, 1030, 75, 44, 284, 47, 44, 40, 20, 11, 65, 64, 25, 11, 1836, 36, 11, 15, 47, 184, 11, 33, 46, 31, 18, 62, 122, 55, 15, 33, 354, 14, 23, 38, 34, 33, 55, 65, 113, 45, 27, 17, 62, 32, 77, 57, 59, 679, 432, 110, 79, 35, 10, 13, 201, 47, 18, 32, 41, 104, NA, 31, 283, 46, 36, 10, 39, 698, 23, 25, 22, 35, 76, 42, 52, 53, 58, 79, 73, 74, 81, 133, 30, 20, 13, 80, 30, 64, 227, 16, 28, 11, 53, 47, 93, 36, 13, 53, 39, 24, 34, 615, 73, 34, 31, 157, 44, 29, 83, 102, 284, 21, 48, 49, 28, 13, 11, 39, 83, 65, 25, 43, 97, 79, 187, 32, 80, 32, 41, 46, 17, 67, 34, 34, 36, 41, 172, 338, 19, 28, 52, 11, 65, 114, 93, 47, 73, 188, 21, 19, 38, 26, 62, 26, 21, 15, 42, 83, 26, 40, 93, 16, 85, 32, 18, 39, 70, 26, 15, 96, 60, 12, 30, 18, 12, 114, 66, 20, 43, NA, 33, 51, 29, 13, 10, 25, 13, 44, 264, 192, 98, 37, 21, 80, 39, 81, 21, 268, 217, 43, 20, 28, 41, 10, 13, 338, 32, 38, 41, 55, 84, 33, 44, 131, 24, 136, 50, 55, 43, 55, 18, 15, 25, 27, 43, 121, 43, 166, 28, 13, 69, 77, 102, 102, 33, 38, 46, 40, 29, 13, 31, 175, 85, 113, 126, 146, 50, 328, 41, 53, 430, 133, 189, 297, 34, 36, 39, 25, 13, 79, 109, 89, 159, 120, 46, 63, 15, 99, 16, 11, 68, 96, 34, 206, 112, 515, 260, 89, 363, 88, 114, 73, 224, 317, 49, 39, 174, 23, 126, 12, 331, 29, 97, 99, 131, 23, 273, 85, 11, 126, 17, 15, 1422, 12, 14, 42, 29, 29, 107, 80, 130, 95, 37, 145, 23, 35, 26, 93, 173, 319, 32, 24, 15, 36, 22, 133, 14, 79, 20, 104, 28, 66, 52, 47, 26, 205, 73, 20, 31, 190, 77, 194, 139, 63, 120, 46, 28, 97, 2793, 15, 37, NA, 17
#> $ debt_all_stgp_eval_mean       <dbl> 52786, 34809, 57391, 23490, 33702, 45043, 25746, 23741, 34435, 36208, 35222, 18609, 32751, 53331, 46475, 37774, 39396, 36890, 33280, 27041, 18850, 50917, 33947, 24395, 45105, 25055, 44637, 28459, 24194, 29764, 44983, 32450, 27309, 25364, 35740, 32847, 32289, 40489, 33635, 35518, 31341, 78722, 75797, 94907, 69106, 92329, 77683, 33909, 42056, 28494, 43593, 49884, 18474, 55271, 48004, 43432, 39166, 45746, 38245, 45086, 85488, 40573, 41659, 53791, 53606, 49740, 64014, 33097, 63320, 66197, 33413, 90863, 55190, 41696, 54107, 45864, 52606, 32775, 43079, 47627, 45702, 38925, 43672, 31072, 50394, 30353, 28170, 23286, 32094, 26086, 26219, 33155, 24887, 32145, 32454, 82305, 34523, 73706, 44196, 46170, 31836, 40832, 38774, 33781, 41299, 37229, 61948, 35219, 42288, 35796, 53568, 78441, 32532, 58397, 30191, 48737, 49500, 34506, 42128, 41970, 28529, 37387, 30974, 41615, 45059, 36864, 30022, 67654, 72904, 24888, 27313, 29145, 60313, 23945, 35938, 24516, 36818, 48243, 40165, 37046, 29206, 46580, 33792, 32889, 30407, 32987, 49858, 19189, 31184, 47748, 51612, 37560, 25983, 35058, 40212, 70801, 29099, 43536, 44064, 29802, 35565, 115085, 16352, 29532, 29769, 33538, 45919, 58676, 32370, 54106, 37186, 26607, 27378, 36660, 27910, 37614, 21798, 29759, 21150, 25933, 22667, 43581, 26771, 71324, 18044, 31717, 36016, 40108, 47005, 39826, 40447, 18969, 26622, 37559, 28375, 19449, 37964, 33223, 16158, 33456, 30106, 30300, 22733, 39674, 25646, 16495, 28062, 33261, 42167, 19390, 19161, 31462, 21920, 28040, 23919, 52835, 31409, 86004, 22514, 26949, 28120, 24223, 50206, 43302, 29451, 29447, 42303, 52451, 48683, 71997, 36372, 23299, 22413, 25905, 21519, 25897, 35295, 32001, 54629, 54938, 65071, 25152, 29275, 31584, 39962, 16356, 29783, 35909, 31521, 38243, 27982, 63481, 27333, 32099, 55207, 30851, 42877, 11534, 49477, 34620, 45588, 58395, 44508, 29613, 30226, 53963, 75835, 49492, 34958, 40484, 34826, 40699, 28953, 30867, 37314, 40331, 39848, 40789, 32907, 44973, 41362, 61641, 29747, 29565, 33201, 46539, 44147, 24935, 26959, 55318, 46665, 22669, 25431, 21836, 40450, 36810, 28308, 24687, 28327, 30220, 24508, 20174, 26806, 41010, 30288, 33408, 18760, 36312, 30871, 42197, 18464, 23271, 83004, 48541, 17022, 37627, 46041, 25245, 27993, 35220, 17646, 17483, 41433, 24577, 24658, 33552, 41764, 43370, 21463, 30603, 35516, 32413, 33066, 26841, 29738, 34036, 38519, 26480, 38773, 52577, 39986, 37756, 58003, 37905, 37490, 27611, 27858, 32282, 30592, 27982, 32262, 25228, 33775, 35911, 37825, 31189, 35251, 38878, 45583, 96404, 103940, 41180, 21140, 25494, 35206, 36967, 61366, 68684, 36160, 29684, 24488, 62378, 31142, 32158, 39417, 30826, 30448, 64540, 65931, 108756, 50291, 28032, 57033, 39780, 46166, 35910, 20740, 31115, 33376, 38691, 39279, 31091, 24906, 39714, 50457, 30777, 22549, 26815, 49652, 38874, 72043, 36839, 26327, 43400, 24066, 29088, 30560, 53096, 31770, 34639, 34416, 40033, 37718, 82256, 35172, 29126, 72096, 39131, 34506, 32838, 31445, 47404, 58952, 29195, 28638, 26845, 17049, 17792, 19643, 47648, 30553, 35432, 40630, 37093, 67417, 36609, 36710, 19834, 30131, 27525, 45112, 30257, 37933, 25934, 30825, 29624, 27384, 34061, 54667, 38101, 27889, 45084, 29725, 30993, 34975, 40584, 35144, 27664, 31741, 32434, 36115, 25023, 23724, 41289, 43076, 21864, 27464, 17326, 28483, 38628, 30467, 46301, 70112, 48357, 43448, 41931, 30620, 38096, 31265, 23027, 24826, 29559, 36562, 43186, 32164, 29922, 39198, 44934, 37548, 33003, 30400, 30482, 33840, 27606, 40893, 20648, 39964, 32382, 41948, 31087, 41759, 75053, 36322, 33409, 35952, 40743, 38313, 24394, 22725, 59699, 42594, 21986, 23543, 43508, 35725, 30131, 28761, 26780, 23146, 32884, 18177, 32904, 37679, 28439, 39577, 38175, 23277, 42920, 23958, 32480, 23774, 25994, 29779, 40278, 24717, 31936, 24026, 42679, 27956, 36097, 25231, 46243, 37355, 29851, 31972, 42392, 31782, 32137, 18227, 19862, 40209, 38262, 21266, 61912, 37470, 15825, 51231, 53082, 17257, 30727, 38897, 33687, 36036, 37176, 40793, 38107, 25813, 19386, 42643, 28292, 26507, 25568, 40349, 41495, 37571, 46381, 42706, 32291, 29374, 98533, 33095, 24289, 23171, 31691, 18003, 42279, 34786, 76933, 43771, 33542, 32722, 48179, 33228, 55101, 36602, 30959, 39901, 32213, 34769, 17187, 29524, 27924, 47357, 28833, 46724, 23823, 41805, 41646, 53205, 46077, 17807, 45767, 28066, 33612, 35797, 20011, 38678, 60317, 34468, 34692, 42354, 48268, 93771, 45479, 29541, 39559, 37081, 40758, 42205, 48903, 40953, 56548, 30873, 32321, 28296, 27806, 28736, 34497, 23523, 31949, 39286, 36781, 33436, 48567, 31157, 36686, 34211, 31152, 31396, 24716, 34723, 38253, 28452, 30343, 48169, 39162, 50094, 37850, 38400, 40744, 14716, 18275, 33804, 24491, 33735
#> $ debt_all_stgp_eval_mdn        <dbl> 50311, 30624, NA, 20004, 35889, 41000, 27500, NA, 34250, NA, 30750, 15400, NA, 44700, 41000, 29753, 40557, 38677, 33286, NA, 20500, 34760, 29743, NA, 46431, 23917, NA, NA, 23414, 31035, 43700, NA, 27500, 20500, 39656, 30728, 34166, 41000, 38662, 31756, 30750, 81000, 72389, 86864, 52347, 94019, 78548, 32699, 41000, NA, 41000, NA, 20500, 51548, 43380, 40500, 40394, 46750, NA, NA, 91630, 41000, 41000, 53604, 47808, 49626, 49450, 31500, 63550, 59380, 41000, 79041, 51250, 43252, 52152, 39681, 51807, 32518, 42500, 44866, 41000, 39934, 41000, NA, 41000, NA, 20500, NA, 30393, 20500, NA, 34572, NA, 30750, 32500, 85000, NA, 65500, 45001, 41000, 29871, 39801, 34560, 33750, 41000, 32000, 61469, 36958, 38524, NA, 53024, 77865, 30750, 51250, NA, 41000, 54454, 31158, 27142, 39448, 30048, 40678, 28646, 40308, 41000, 41000, 30842, 61500, 79888, 20206, 22000, 29000, 58726, 20833, 32950, 20500, 35398, 45836, 41000, 40529, 23451, NA, 36149, 32825, NA, 30509, 48500, 18178, 31025, 51250, 49500, 34580, 25200, 40100, 35778, 61500, 29015, 41000, NA, 29700, 32046, 106803, NA, 33900, 28500, NA, 42300, 50607, 31626, 50718, 40516, 19485, 20794, 36960, 29303, NA, 24458, 30893, 18516, 26739, NA, 45581, 25028, 50048, 14500, 29964, 40268, 39964, 45641, 46322, 43770, 19706, 23774, 40916, 28930, NA, 31727, 35933, NA, 38525, 30050, NA, 21000, NA, NA, 13098, 25991, 30750, 41000, 18007, NA, 34750, NA, NA, 21054, 51250, 30750, 98616, NA, NA, 20298, 20500, 41000, NA, 20800, NA, 39000, 50339, 46000, 68411, 39210, 20945, 23014, 22926, NA, 24163, 36979, 27502, 46711, 49318, 65000, NA, 27255, 20500, 41000, 17307, 27257, 32926, 30750, 37380, NA, 61500, 26262, 20500, 50646, 27333, 41000, NA, NA, 34689, 34000, 36722, 40007, 32280, 36805, 57796, 51250, 51250, 31596, 37294, 34100, NA, 30519, 27333, 38000, 36500, 37199, 41000, 36083, 41000, 38622, 60249, 34075, 27934, 33885, 43105, 44200, NA, NA, 41000, 47706, 23983, 20500, NA, NA, 31000, 20500, 25800, NA, 32197, NA, NA, NA, 41000, 28700, 32295, 18622, 34687, 27200, 40000, 17916, 20350, 77292, 46812, 16615, 31353, 41000, 26041, 28895, 33933, 17300, NA, 37106, 20500, 25570, NA, 40969, 41000, NA, NA, 40692, 30166, NA, 28072, 28750, 36500, NA, 20500, 40902, 50352, NA, 34750, 53414, NA, 34732, 21558, 27768, 32238, 30550, 27462, 29017, 22801, 34166, NA, 35750, 30500, 34167, 42729, 38500, 69500, 111446, 40977, 18580, 23174, NA, NA, 50451, 59132, NA, 33258, 20500, 65000, 31721, 26720, 35875, 30500, 27417, NA, 57930, 95353, 41000, 27750, 61500, 41000, 45268, 35826, 20500, 30500, 30500, 30290, 33672, 31874, 20500, 40000, 38523, 30750, NA, 22747, 51935, 34029, 70653, NA, 25000, NA, 20602, 24375, 25500, 49805, NA, 34839, 34240, 41000, 40316, 74873, 31486, 30574, 60065, 41000, 40445, 30761, 33698, 41814, 57519, 28910, 30193, 29029, 15780, NA, NA, 39806, 26252, 36659, 43491, 33705, 65000, 30750, 34962, 19092, 28518, 20500, 38605, 28607, NA, 25978, 33077, 32675, 24787, 30216, 47440, 41000, 30833, 41525, 30750, NA, 31333, 34133, 35004, 26584, 34166, 36163, 35500, 25356, 17197, 33069, 40460, 22851, 29473, NA, 31000, 41000, 29542, 37249, 70874, NA, 41000, 44312, NA, 41325, 29202, 23500, NA, 27533, 39220, NA, 30149, NA, NA, 42993, 41000, 36343, 32894, 35500, 35875, 26500, 29035, NA, NA, 33821, NA, 34123, 41000, 41000, 36114, 30000, 30750, 42553, 26500, 21195, 20500, 44750, 39907, 22705, 20500, 41000, 37289, NA, NA, 27735, 20500, 30750, 17490, 33848, 37848, 30871, 40808, 39057, 23756, 41000, 20500, 33322, 20500, 20992, NA, NA, 25414, 36527, 25546, 36614, 25281, 41000, 25525, NA, 29011, 26200, 30394, 38500, 29194, 28959, 12725, 17574, 30069, NA, 20500, 57000, 41000, 15199, 51250, 54678, 15488, 27956, 41000, 32302, 40370, 34724, 41000, 37584, 27582, 17800, 42173, 28577, NA, 21350, 41000, 41000, 30750, 43750, 41000, 34961, NA, 90123, NA, NA, 20359, 29604, 18000, 36453, 29203, 82067, 41200, 34418, 34166, 41000, 24666, 53184, 36979, 30552, 36995, 33245, 41000, 13850, 28000, NA, 41000, 30000, 44417, 20500, 39350, 44879, 47060, 41000, NA, 40899, NA, NA, 34166, NA, NA, 61500, 30750, 34936, 35682, 41000, 85690, 47559, 29892, 34644, 40999, 41208, 41000, 41000, 37500, 55437, 30200, 34167, NA, 22500, 29122, 37649, NA, 25319, 36832, 40940, 35500, 37474, 28840, 32650, 37824, 25823, 32720, 25194, 30731, 36007, 29172, 29917, 43811, 41000, 52120, 39940, 30000, 41470, 13319, NA, 30978, 22866, NA
#> $ debt_all_stgp_eval_mdn10yrpay <dbl> 517, 314, NA, 205, 368, 421, 282, NA, 352, NA, 316, 158, NA, 459, 421, 305, 416, 397, 342, NA, 210, 357, 305, NA, 477, 246, NA, NA, 240, 319, 449, NA, 282, 210, 407, 316, 351, 421, 397, 326, 316, 832, 743, 892, 537, 965, 807, 336, 421, NA, 421, NA, 210, 529, 445, 416, 415, 480, NA, NA, 941, 421, 421, 550, 491, 510, 508, 323, 653, 610, 421, 812, 526, 444, 535, 407, 532, 334, 436, 461, 421, 410, 421, NA, 421, NA, 210, NA, 312, 210, NA, 355, NA, 316, 334, 873, NA, 673, 462, 421, 307, 409, 355, 347, 421, 329, 631, 379, 396, NA, 544, 799, 316, 526, NA, 421, 559, 320, 279, 405, 309, 418, 294, 414, 421, 421, 317, 631, 820, 207, 226, 298, 603, 214, 338, 210, 363, 471, 421, 416, 241, NA, 371, 337, NA, 313, 498, 187, 319, 526, 508, 355, 259, 412, 367, 631, 298, 421, NA, 305, 329, 1097, NA, 348, 293, NA, 434, 520, 325, 521, 416, 200, 214, 379, 301, NA, 251, 317, 190, 275, NA, 468, 257, 514, 149, 308, 413, 410, 469, 476, 449, 202, 244, 420, 297, NA, 326, 369, NA, 396, 309, NA, 216, NA, NA, 134, 267, 316, 421, 185, NA, 357, NA, NA, 216, 526, 316, 1013, NA, NA, 208, 210, 421, NA, 214, NA, 400, 517, 472, 702, 403, 215, 236, 235, NA, 248, 380, 282, 480, 506, 667, NA, 280, 210, 421, 178, 280, 338, 316, 384, NA, 631, 270, 210, 520, 281, 421, NA, NA, 356, 349, 377, 411, 331, 378, 593, 526, 526, 324, 383, 350, NA, 313, 281, 390, 375, 382, 421, 370, 421, 397, 619, 350, 287, 348, 443, 454, NA, NA, 421, 490, 246, 210, NA, NA, 318, 210, 265, NA, 331, NA, NA, NA, 421, 295, 332, 191, 356, 279, 411, 184, 209, 794, 481, 171, 322, 421, 267, 297, 348, 178, NA, 381, 210, 263, NA, 421, 421, NA, NA, 418, 310, NA, 288, 295, 375, NA, 210, 420, 517, NA, 357, 548, NA, 357, 221, 285, 331, 314, 282, 298, 234, 351, NA, 367, 313, 351, 439, 395, 714, 1144, 421, 191, 238, NA, NA, 518, 607, NA, 341, 210, 667, 326, 274, 368, 313, 282, NA, 595, 979, 421, 285, 631, 421, 465, 368, 210, 313, 313, 311, 346, 327, 210, 411, 396, 316, NA, 234, 533, 349, 725, NA, 257, NA, 212, 250, 262, 511, NA, 358, 352, 421, 414, 769, 323, 314, 617, 421, 415, 316, 346, 429, 591, 297, 310, 298, 162, NA, NA, 409, 270, 376, 447, 346, 667, 316, 359, 196, 293, 210, 396, 294, NA, 267, 340, 335, 255, 310, 487, 421, 317, 426, 316, NA, 322, 350, 359, 273, 351, 371, 365, 260, 177, 340, 415, 235, 303, NA, 318, 421, 303, 382, 728, NA, 421, 455, NA, 424, 300, 241, NA, 283, 403, NA, 310, NA, NA, 441, 421, 373, 338, 365, 368, 272, 298, NA, NA, 347, NA, 350, 421, 421, 371, 308, 316, 437, 272, 218, 210, 459, 410, 233, 210, 421, 383, NA, NA, 285, 210, 316, 180, 348, 389, 317, 419, 401, 244, 421, 210, 342, 210, 216, NA, NA, 261, 375, 262, 376, 260, 421, 262, NA, 298, 269, 312, 395, 300, 297, 131, 180, 309, NA, 210, 585, 421, 156, 526, 561, 159, 287, 421, 332, 415, 357, 421, 386, 283, 183, 433, 293, NA, 219, 421, 421, 316, 449, 421, 359, NA, 925, NA, NA, 209, 304, 185, 374, 300, 843, 423, 353, 351, 421, 253, 546, 380, 314, 380, 341, 421, 142, 287, NA, 421, 308, 456, 210, 404, 461, 483, 421, NA, 420, NA, NA, 351, NA, NA, 631, 316, 359, 366, 421, 880, 488, 307, 356, 421, 423, 421, 421, 385, 569, 310, 351, NA, 231, 299, 387, NA, 260, 378, 420, 365, 385, 296, 335, 388, 265, 336, 259, 316, 370, 300, 307, 450, 421, 535, 410, 308, 426, 137, NA, 318, 235, NA
#> $ earn_count_wne_hi_1yr         <dbl> 45, 87, NA, 57, 119, 177, 32, 12, 94, 15, 129, 22, 19, 608, 208, 161, 49, 91, 37, NA, 25, 58, 151, 32, 117, 73, 12, NA, 53, 52, 128, 18, 22, 44, 91, 86, 92, 85, 24, 37, 173, 76, 290, 733, 18, 78, 75, 52, 17, NA, 63, 15, 22, 260, 36, 58, 303, 38, NA, 25, 369, 68, 416, 81, 105, 55, 80, 71, 104, 172, 47, 501, 70, 28, 287, 68, 144, 62, 265, NA, 333, 83, 65, 23, 217, NA, 132, 17, 262, 62, 18, 78, 20, 111, 80, 76, 16, 307, 48, 76, 208, 75, 326, 48, 299, 277, 655, 41, 799, 14, 192, 211, 109, 824, 46, 157, 895, 287, 90, 46, 33, 90, 56, 47, 121, 94, 30, 197, 322, 16, 34, 104, 157, 52, 28, 135, 21, 78, 41, 118, 59, 17, 35, 115, 23, 84, 357, 50, 51, 25, 107, 403, 30, 13, 56, 138, 103, 82, 46, 71, 218, 118, 11, 86, 168, 26, 156, 89, 50, 43, 49, 56, 48, 133, 25, 19, 23, 62, 34, 38, 13, 631, 106, 27, 141, 70, 200, 52, 123, 69, 344, 25, 43, 138, 100, 47, 32, 59, 31, 72, 40, 24, 65, NA, NA, 52, 42, 67, 39, 34, 14, 108, 20, 21, 59, 46, 58, 41, 28, 21, 26, 50, 109, 12, 79, 24, 71, 125, 1575, 409, 48, 71, 39, 45, NA, 115, 33, 48, 201, 371, 91, 16, 40, 69, 28, 35, 139, 330, 89, 78, 24, 81, 47, 50, 89, 58, 56, NA, 22, 301, 374, 37, 48, 47, 56, 57, 648, 230, 63, 44, 92, 22, 39, NA, 151, 108, 78, 79, 188, 113, 56, 275, 21, 45, 156, 351, 41, 30, 17, 19, 240, 13, 23, 52, 15, 19, 71, 48, 30, 40, 43, 24, 25, 69, 74, 93, 51, 91, 130, 89, 37, 50, 273, 1521, 138, 41, 349, 63, 117, 80, 17, 24, 69, 109, 26, 16, 1841, 64, 15, 22, 80, 200, 24, 36, 58, 20, 29, 101, 122, 65, 38, 46, 410, 15, 30, 49, 57, 70, 70, 66, 155, 39, 18, 18, 103, 36, 100, 93, 108, 723, 474, 136, 66, 44, 17, 14, 274, 54, 26, 35, 81, 102, 32, 61, 225, 41, 34, NA, 43, 980, 22, 42, 28, 12, 88, 44, 87, 60, 65, 100, 93, 85, 102, 183, 60, 13, 32, 112, 55, 71, 163, 11, NA, 31, 58, 62, 117, 24, 20, 58, 39, 36, 19, 678, 93, 49, 28, 171, 39, 17, 100, 88, 340, 46, 52, 57, 22, 38, 25, 77, 158, 106, 36, 75, 127, 127, 222, 63, 84, 61, 62, 91, 33, 77, 46, 31, 24, 50, 267, 362, 17, 47, 49, 19, 77, 119, 113, 59, 77, 163, 48, 35, 67, 24, 82, 37, 30, 27, 21, 83, 29, 35, 149, 18, 84, 48, 28, 105, 81, 20, 14, 94, 58, 16, 40, 37, 25, 208, 44, 57, 51, 61, 36, 58, 75, 40, 24, NA, 21, 37, 405, 313, 153, 43, 30, 101, 61, 111, 28, 254, 221, 87, 55, 29, 69, 25, 18, 310, 82, 72, 71, 42, 101, 16, 37, 117, NA, 186, 72, 64, 39, 96, 23, 17, 24, 54, 39, 148, 60, 124, 35, 20, 118, 103, 116, 154, 33, 45, 72, 48, 71, NA, 28, 157, 66, 130, 139, 171, 45, 463, 68, 85, 215, 157, 255, 361, 25, 61, 41, 29, 18, 102, 122, 79, 229, 120, 53, 103, 17, 117, NA, 19, 112, 122, 92, 289, 175, 649, 323, 107, 378, 140, 122, 99, 251, 491, 39, NA, 259, 25, 172, NA, 311, 37, 120, 109, 107, 12, 247, 49, NA, 175, 16, 42, 1725, 20, 29, 37, 41, 23, 97, 112, 172, 125, 34, 192, 20, 43, 37, 151, 228, 475, 31, 29, 16, 29, 28, 187, 23, 81, 28, 144, 36, 130, 69, 68, 79, 269, 83, 38, 23, 154, 50, 174, 163, 78, 196, 59, 36, 97, 2462, 37, 50, 47, 29
#> $ earn_mdn_hi_1yr               <dbl> 40737, 67202, NA, 68499, 81031, 107636, 45529, 53358, 66686, 65053, 60240, 58673, 82882, 98670, 97211, 63377, 67101, 127000, 59986, NA, 57318, 54948, 71255, 55286, 62756, 63005, 79450, NA, 68499, 66573, 73378, 82440, 61814, 63749, 84161, 76460, 78719, 74063, 101406, 95739, 74576, 108244, 103705, 150453, 55338, 109763, 78134, 63005, 71575, NA, 114223, 122038, 55512, 75573, 62260, 71435, 65310, 77401, NA, 67420, 99335, 64493, 74641, 79284, 92410, 76460, 98403, 98213, 133919, 109763, 74200, 128506, 69897, 37208, 89790, 67660, 81391, 59124, 94851, NA, 71575, 65984, 54109, 74576, 115897, NA, 91211, 52524, 69218, 76930, 60320, 63997, 69338, 92885, 58866, 89130, 48823, 112701, 63600, 54531, 45665, 50606, 75957, 53608, 67660, 76325, 69119, 61814, 89535, 81812, 41193, 76041, 69967, 56329, 58221, 66062, 56796, 69032, 50606, 65131, 51106, 60485, 55964, 40402, 58173, 52107, 54035, 130046, 127602, 57318, 64990, 73635, 105167, 41937, 53108, 60920, 64493, 75623, 64990, 76773, 62579, 90412, 71486, 67273, 72796, 58221, 101406, 53984, 73041, 76460, 81807, 72685, 70176, 91744, 61218, 84653, 60452, 68219, 71351, 62012, 93555, 160423, 63005, 53244, 54442, 74200, 60275, 52789, 74307, 62012, 57318, 70176, 66325, 69338, 48198, 97071, 54435, 74576, 61516, 69338, 43798, 66941, 63855, 68666, 64865, 79473, 97959, 71575, 82440, 72719, 69146, 63005, 55286, 58221, 82238, 67660, 66045, 54192, 46478, 65131, 55713, 69338, 71015, NA, NA, 50856, 47260, 52420, 60878, 60839, 53358, 60399, 54635, 78343, 50856, 44942, 52107, 104749, 55036, 74576, 60771, 50231, 79473, 70456, 73769, 69338, 105083, 93646, 74230, 108154, 56234, 65089, 55964, 41789, NA, 64940, 55108, 102409, 115060, 111713, 73949, 63005, 63005, 70112, 77401, 75921, 83270, 109492, 77401, 62632, 79450, 76083, 47260, 63005, 72902, 72605, 122038, NA, 52107, 66631, 62674, 64990, 61888, 109095, 65486, 91078, 140364, 100951, 97071, 71854, 90146, 55338, 57995, NA, 80004, 77297, 74576, 82882, 78971, 74262, 57318, 115006, 67362, 81333, 75352, 107198, 77715, 53629, 52107, 38289, 47025, 41007, 46478, 70009, 31670, 63005, 79598, 49136, 52941, 53472, 53608, 55964, 49621, 54585, 57318, 54739, 48901, 61888, 68666, 81491, 55964, 71392, 112939, 65476, 54621, 61516, 75405, 74576, 80082, 83768, 44170, 71575, 93816, 79884, 58673, 62012, 68321, 60771, 69338, 70456, 87309, 76729, 70009, 60298, 77087, 64196, 59124, 67660, 89613, 84653, 100690, 90264, 112363, 57318, 114225, 56931, 82440, 68666, 71854, 54296, 64196, 52941, 69338, 55964, 68047, 34420, 62756, 68422, 52492, 166356, 155273, 101494, 54534, 55211, 51273, 67660, 108092, 105863, 47260, 61020, 56276, 61651, 71015, 84653, 61859, 66449, 56641, NA, 54109, 150006, 63005, 59648, 109763, 57318, 66049, 55078, 54470, 54769, 66293, 58402, 63898, 71575, 68499, 76208, 60185, 52107, 56776, 59288, 72325, 75706, 93768, 48041, NA, 57318, 54109, 56931, 63275, 76460, 50856, 56234, 50856, 53775, 53358, 135907, 82440, 66728, 53775, 86997, 61814, 52107, 61859, 87309, 81491, 89968, 68079, 61516, 41349, 73949, 63005, 73231, 73500, 89841, 81997, 80234, 81836, 79284, 67918, 64150, 65238, 64493, 75518, 60623, 48823, 56641, 99960, 43426, 59350, 61303, 98720, 89083, 52107, 70596, 72762, 63005, 68079, 68708, 83848, 80166, 57860, 55456, 57770, 69338, 72274, 81333, 106421, 61177, 54035, 57995, 61516, 76460, 55964, 63005, 82808, 57318, 91539, 67995, 58221, 82756, 66287, 55964, 54713, 55964, 63997, 63005, 65332, 63749, 94408, 65238, 53045, 62579, 48432, 62012, 84653, 61020, 82756, 79284, 120549, NA, 47846, 59045, 95618, 179111, 57149, 61516, 50606, 91502, 55964, 67660, 54869, 110109, 108265, 75204, 87815, 59485, 55693, 66821, 78971, 51690, 65734, 82440, 61681, 58943, 63749, 51273, 57318, 72983, NA, 102902, 49883, 57017, 61064, 77144, 50856, 54713, 52941, 75330, 57995, 58402, 52107, 49527, 44021, 52107, 75282, 64493, 76460, 102743, 57318, 53984, 63997, 60523, 72860, NA, 55286, 100087, 69897, 68858, 62546, 73486, 48041, 75097, 71575, 82756, 66772, 70680, 99069, 62528, 53358, 46254, 58673, 61020, 60433, 86036, 58221, 64493, 128149, 74200, 65486, 73852, 72482, 111769, NA, 56415, 68548, 64150, 59576, 105083, 73164, 137496, 95317, 63005, 73787, 108532, 75204, 59350, 84653, 67524, 63005, NA, 121825, 64493, 83704, NA, 100554, 81491, 83915, 79284, 79150, 58673, 69165, 56234, NA, 102902, 67660, 105465, 60729, 69338, 74200, 87604, 63005, 62260, 121046, 93467, 173400, 81886, 46478, 85243, 57318, 64990, 57318, 91211, 98551, 135440, 62012, 63997, 35416, 62409, 61218, 69338, 66915, 73399, 73949, 65524, 63005, 100738, 57318, 84653, 83388, 64295, 79541, 77715, 73949, 35351, 32806, 37208, 96288, 54509, 71575, 72274, 51607, 77297, 71819, 71015, 83388, 63997, 65657
#> $ earn_count_wne_hi_2yr         <dbl> 37, 74, NA, NA, 95, 131, 11, NA, 72, 12, 109, 16, 13, 552, 148, 172, 34, 54, 31, NA, 13, 50, 73, 27, 121, 32, NA, NA, 52, 62, 91, 19, 25, 33, 85, 72, 53, 58, 21, 36, 182, 108, 159, 654, 14, 70, 82, 37, NA, 14, 50, NA, NA, 272, 21, 35, 222, 48, NA, 13, 376, 24, 258, 37, 116, 49, 90, 35, 105, 134, 46, 638, 95, 12, 266, 69, 165, 43, 161, 32, 278, 80, 28, 22, 174, NA, 105, NA, 164, 41, 16, 52, NA, 35, 37, 73, 13, 370, 46, 99, 136, NA, 166, 36, 216, 247, 681, 34, 717, NA, 217, 185, 94, 590, 76, 128, 717, 223, 67, 54, 29, 30, 59, 34, 46, 66, 23, 170, 293, 16, NA, 87, 130, 51, 23, 83, 27, 81, 22, 100, 37, 14, 21, 78, 18, 76, 316, 34, 46, 29, 88, 150, 28, NA, 150, 94, 80, 66, 35, 90, 192, 116, NA, 55, 88, 23, 136, 79, 30, 43, 64, 43, 29, 131, 15, NA, NA, 42, 19, 20, NA, 504, 88, 22, 86, 42, 193, 40, 104, 30, 358, 15, 39, 82, 45, 44, 14, 38, 21, 41, 33, 13, 34, NA, NA, 18, 16, 48, 33, 16, 15, 120, 25, 19, 42, 52, 53, 53, 13, NA, 16, 55, 31, NA, 43, 21, 61, 133, 1384, 287, 47, 67, 26, 30, 23, 93, 34, 51, 189, 313, 52, 16, NA, 62, 31, 35, 68, 218, 69, 54, 14, 82, 17, 21, 71, 43, 43, 21, 16, 251, 246, 37, 30, 33, 59, 45, 626, 128, 54, 19, 70, 18, 27, NA, 134, 109, 58, 64, 142, 95, 52, 89, NA, 32, 144, 297, 31, 30, NA, NA, 220, 16, 21, NA, 14, 18, 47, 24, 17, 34, 42, 16, 31, 40, 44, 73, 41, 19, 104, 89, 19, 59, 122, 1114, 99, 47, 205, 54, 124, 79, 15, 12, 71, 93, 15, 17, 1017, 38, 15, 18, 104, 173, NA, 21, 36, 25, 20, 94, 53, 56, 29, 35, 201, NA, 28, 35, 56, 42, 46, 59, 108, NA, NA, 12, 62, 22, 73, 66, 76, 665, 466, 117, 19, 43, 13, NA, 249, 46, 22, 22, 63, 104, 19, 52, 143, 26, 35, NA, 51, 942, 17, 26, 24, NA, 50, 35, 72, 22, 49, 84, 81, 38, 73, 99, 47, 16, 23, 46, 37, 46, 45, NA, NA, 28, 43, 63, 110, 30, 19, 39, 19, 40, 14, 315, 70, 44, 20, 74, 23, 11, 54, 37, 289, 33, 58, 29, 13, 18, 21, 46, 115, 96, 56, 48, 116, 60, 250, 53, 52, 40, 60, 67, 35, 82, 31, 33, NA, 35, 224, 305, NA, 37, 26, 14, 58, 56, 78, 45, 23, 75, 48, 27, 27, 37, 57, 16, 13, 19, NA, 94, NA, 30, 99, NA, 82, 38, 19, 100, 72, NA, NA, 57, 21, 25, 45, 37, 25, 129, 21, 51, 17, 33, 38, 50, 43, 40, 17, NA, 14, 19, 376, 270, 176, 35, NA, 113, 46, 81, 28, 167, 89, 59, 37, 16, 59, 11, 13, 220, 63, NA, 75, 37, 74, 21, 13, 99, NA, 154, 46, 59, 28, 58, 14, 15, 19, 61, 25, 103, 23, 31, 18, 12, 118, 64, 84, 159, 18, 36, 46, 48, 50, NA, NA, 106, 43, 25, 129, 186, 31, 355, 35, 78, 38, 151, 265, 314, 21, 66, 29, 18, 15, 84, 82, 53, 194, 103, 21, 94, NA, 113, NA, 14, 87, 118, 130, 272, 165, 591, 210, 78, 185, 125, 90, 89, 170, 446, 37, NA, 199, 22, 100, NA, 113, 38, 112, 45, 111, NA, 201, 26, NA, 138, 32, 39, 1359, NA, 28, 27, 20, 16, 68, 116, 310, 91, 21, 178, 21, 23, 33, 140, 149, 476, 34, 16, NA, 19, 37, 193, 20, 81, 15, 143, 11, 128, 48, 63, 43, 226, 49, 32, 17, 158, 51, 137, 88, 51, 156, 46, 21, 93, 1704, 39, 35, 14, 23
#> $ earn_mdn_hi_2yr               <dbl> 43798, 70176, NA, NA, 80004, 114892, 50856, NA, 66461, 52107, 58549, 58221, 81333, 98650, 92743, 65042, 54739, 106421, 57318, NA, 48432, 67101, 74105, 58402, 59425, 73075, NA, NA, 71015, 73949, 72214, 85357, 50856, 69338, 90049, 80779, 79838, 67660, 106421, 88907, 73739, 116258, 90983, 143744, 60320, 101406, 80459, 62012, NA, 63005, 88861, NA, NA, 69657, 47260, 67660, 65238, 78074, NA, 76460, 92733, 69338, 79037, 68499, 89672, 80124, 96866, 87973, 128588, 108331, 83768, 131090, 63997, 47260, 89184, 71015, 80503, 66541, 80301, 54661, 66897, 57318, 60161, 87604, 106249, NA, 90348, NA, 70044, 73949, 52941, 64706, NA, 86424, 54697, 99458, 41193, 114046, 61303, 51482, 46790, NA, 75047, 52107, 59688, 75787, 67685, 61020, 88546, NA, 39653, 83022, 65557, 58605, 60689, 62806, 56918, 66566, 53358, 62260, 45696, 59253, 49854, 38289, 60173, 53894, 51106, 134287, 127034, 52941, NA, 65486, 111283, 41342, 55964, 62343, 56415, 78719, 49683, 74786, 61516, 84653, 64493, 65238, 84653, 59576, 100096, 54386, 84653, 73635, 80189, 71661, 72884, NA, 60071, 87470, 59942, 63600, 62260, 58303, 91587, 189565, NA, 48432, 57770, 68778, 61350, 55840, 69338, 71957, 54809, 56931, 63166, 65238, 52107, NA, NA, 62260, 61020, 63005, NA, 66326, 64706, 63005, 57589, 70680, 96991, 68666, 78657, 63005, 67473, 67660, 55286, 57995, 73299, 57318, 56641, 61218, 48432, 69338, 60523, 71015, 57318, NA, NA, 49787, 48432, 61144, 36560, 84653, 61814, 63692, 56641, 67101, 51106, 49344, 46869, 87973, 58673, NA, 58673, 49883, 75204, NA, 78719, 74576, 106421, 92188, 72006, 106102, 51750, 68331, 53537, 52107, 52107, 64572, 63005, 89968, 115060, 106688, 72214, 61177, NA, 64328, 82882, 75518, 71854, 99741, 74200, 61516, 78971, 71778, 46478, 68666, 83388, 71015, 119061, 53775, 69338, 65180, 63318, 81111, 66077, 103746, 64493, 89968, 140166, 98481, 90856, 73635, 89412, 57318, 60771, NA, 90079, 73801, 72602, 80858, 75795, 65238, 65131, 112319, NA, 75204, 72469, 101300, 66915, 55964, NA, NA, 46673, 55964, 46087, NA, 33993, 59722, 88527, 53358, 50465, 59969, 55286, 56563, 47650, 54035, 52107, 53358, 51197, 52265, 70176, 88904, 70456, 58402, 112270, 64473, 50856, 58673, 71495, 73949, 87068, 91017, 55512, 50558, 90856, 82440, 64990, 66171, 69218, 60771, 59417, 55286, 79755, 74953, NA, 73446, 65486, 63749, 73635, 62211, 88971, 85918, 97604, 79473, 109327, NA, 125611, 57318, 71015, 65238, 62409, 54192, 59688, NA, NA, 49644, 70296, 33993, 65387, 71575, 54622, 170426, 145332, 101518, 52107, 56157, 47260, NA, 113850, 108092, 70456, 58673, 56776, 60623, 81498, 88506, 64196, 68499, 52941, NA, 59788, 145543, 96539, 61516, 90637, NA, 67101, 59124, 54401, 58673, 81997, 54686, 63430, 74576, 68443, 68499, 50563, 46478, 51607, 56716, 69897, 76460, 77966, NA, NA, 58557, 49084, 54810, 64493, 71854, 67660, 54748, 48849, 49214, 55964, 127836, 84653, 64121, 44384, 74200, 65486, 49683, 57318, 86867, 76836, 84653, 55286, 60230, 57318, 76460, 58673, 81111, 73035, 86129, 79688, 83177, 85860, 79284, 65610, 63005, 61814, 58402, 73635, 52733, 55964, 61814, 98403, 61516, NA, 62260, 108577, 90283, NA, 71575, 72899, 60161, 65089, 69338, 84284, 64706, 66077, 58092, 67324, 67660, 69338, 76083, 95473, 46087, 63328, 69338, NA, 75518, NA, 63997, 86621, NA, 86867, 72510, 44971, 79284, 60878, NA, NA, 48139, 60623, 58221, 72796, 66104, 82440, 65486, 58402, 54154, 45383, 58402, 86867, 59726, 84100, 73425, 96183, NA, 67164, 61516, 94864, 175674, 57735, 58221, NA, 82440, 51169, 65066, 59124, 102409, 109095, 67660, 91211, 59169, 52733, 64990, 57318, 50677, 65198, NA, 61888, 61020, 59425, 42682, 48432, 74262, NA, 95102, 48198, 54724, 60771, 68778, 46087, 116083, 50465, 76460, 69338, 63005, 43798, 53810, 39369, 33987, 73446, 67101, 76041, 99251, 43240, 54463, 62579, 68219, 70456, NA, NA, 96457, 65131, 57318, 67324, 77966, 62012, 68688, 80022, 78343, 64990, 67324, 92563, 59253, 60771, 45696, 67660, 64990, 59124, 77401, 55625, 54109, 127993, 65486, 63005, 68858, NA, 120363, NA, 52941, 68965, 60013, 57526, 115761, 76460, 131707, 94674, 52420, 68858, 97663, 74786, 52941, 75706, 65131, 53984, NA, 119642, 52107, 71015, NA, 98213, 76878, 80521, 73635, 79912, NA, 68499, 45500, NA, 105585, 63749, 91744, 57714, NA, 78896, 74157, 58673, 76460, 113246, 93467, 155263, 74200, 53358, 82685, 77715, 61064, 58221, 86424, 100915, 127652, 63005, 57995, NA, 63005, 63005, 66461, 65797, 72462, 94408, 60689, 88198, 98506, 61218, 85206, 80292, 65267, 77087, 73949, 63997, 32678, 33993, 37208, 88342, 43519, 78029, 74576, 56415, 79389, 70169, 66821, 64990, 53358, 66821
#> $ tuit_grad_res                 <dbl> 8130, 7588, 11700, 9834, 10470, 9072, 9540, 9936, 5598, 18530, 7146, 8436, 11700, 10810, 11372, 8956, 7680, 7379, 4626, 4932, 4594, 15678, 13152, 5022, 16224, 11430, 17500, 6738, 6738, 6738, 6738, 6738, 6738, 6738, 6738, 6738, 6738, 6738, 6738, 6738, 6738, 11220, 11220, 11220, 11220, 11220, 26896, 8150, 16722, 14940, 17550, 17532, 6738, 13320, 12888, 10452, 11232, 15696, 16713, 44068, 31300, 10980, 20100, 6738, 25470, 6738, 23310, 6738, 27594, 36657, 6738, 41592, 34680, 4410, 6714, 9983, 10836, 12567, 9628, 45288, 11250, 20720, 14940, 6496, 13726, 16632, 12060, 15660, 17730, 20745, 12822, 6497, 6497, 30960, 8190, 28422, 17100, 28800, 13410, 17820, 13050, 6916, 16296, 8019, 5467, 22338, 8912, 16725, 10770, 13320, 21964, 34200, 8570, 18373, 10755, 18996, 9630, 8350, 14076, 16768, 12269, 10584, 7088, 3402, 11736, 5512, 5706, 39800, 13452, 3330, 5187, 6636, 8492, 8910, 4374, 3996, 18600, 15288, 17190, 6232, 6789, 6460, 8851, 10800, 15300, 14328, 18960, 6936, 29730, 7368, 13263, 17168, 7466, 29784, 14310, 18594, 9662, 10962, 15372, 12906, 11858, 50424, 6408, 14845, 24750, 12780, 18996, 17993, 13302, 15100, 10524, 6312, 7767, 11663, 6750, 11460, 7872, 35492, 8497, 7128, 6648, 13000, 16403, 11070, 11700, 8474, 8856, 6996, 16020, 17964, 9990, 5922, 3398, 10068, 9480, 9306, 9670, 12000, 6218, 10764, 10085, 8250, 5173, 10950, 11904, 5670, 6552, 11400, 9132, 6593, 5703, 7234, 5686, 6490, 6540, 5336, 5511, 49030, 7524, 8460, 6840, 24468, 13140, 7182, 7092, 8100, 50410, 15840, 8244, 11718, 7074, 12167, 6858, 14106, 10530, 11610, 22420, 33800, 27216, 49176, 48507, 1675, 13736, 42800, 14793, 3186, 14304, 13524, 16863, 22633, 2520, 20556, 29640, 14994, 32333, 24120, 25344, 2700, 25128, 12232, 12942, 27666, 15120, 13712, 12720, 19116, 21466, 16764, 11300, 9959, 16338, 12869, 10710, 6927, 14746, 13312, 12778, 9630, 8550, 8532, 7185, 16240, 8820, 7373, 8100, 24386, 14076, 6885, 6720, 5269, 10080, 6298, 7141, 7644, 6858, 10206, 7780, 7549, 8400, 7575, 6683, 8496, 7200, 12654, 15672, 9405, 4551, 8025, 15030, 19350, 6307, 4644, 48950, 12690, 8400, 4135, 9810, 3600, 4649, 7134, 14038, 3600, 4968, 4752, 16000, 13560, 18810, 9108, 9810, 16720, 15660, 21564, 18000, 15102, 12960, 10196, 13156, 24156, 10464, 19008, 14545, 22239, 16536, 19476, 33328, 10686, 12024, 10998, 3934, 4418, 7780, 4088, 14376, 3026, 37623, 32517, 14310, 29286, 26460, 43552, 29500, 10130, 10130, 10130, 16380, 15624, 32160, 22320, 19116, 27087, 13536, 28272, 17505, 14040, 15156, 19170, 13500, 13230, 42610, 39936, 21870, 10350, 28680, 13482, 41804, 12240, 13194, 14382, 16182, 15930, 15888, 10870, 10870, 10870, 10870, 10870, 10870, 10870, 10870, 10870, 34632, 16200, 17483, 19800, 4744, 11326, 4656, 12654, 3371, 7722, 9900, 13770, 4545, 9643, 4252, 5117, 4647, 8088, 4448, 3639, 11520, 11194, 37520, 9450, 4348, 12100, 6865, 7185, 5570, 7731, 5713, 12697, 7632, 11250, 42576, 12790, 9565, 16020, 14400, 16008, 11090, 11349, 10200, 10260, 12890, 8964, 10825, 10620, 11560, 9510, 12600, 13166, 18636, 18936, 11970, 13474, 10908, 8492, 9270, 20772, 6043, 3899, 5033, 13734, 4886, 4464, 5316, 22230, 10762, 15504, 15000, 12150, 14391, 30421, 13248, 17496, 14292, 19560, 13140, 11592, 11520, 11592, 16261, 16254, 11592, 7824, 32184, 22212, 16200, 17370, 11934, 11772, 13248, 11592, 23020, 43320, 25560, 10106, 9300, 12060, 19964, 32286, 15858, 12240, 25000, 11352, 12672, 11592, 11592, 15786, 17917, 15840, 11592, 24800, 22368, 13260, 26832, 11826, 8880, 11796, 9180, 7542, 3750, 15075, 70, 8826, 7650, 12398, 13320, 14312, 6840, 7516, 8300, 20160, 8580, 22600, 5700, 18576, 7992, 9024, 11376, 18956, 8820, 7974, 8100, 11044, 8502, 8380, 9200, 6426, 6870, 19890, 3783, 28494, 12240, 3568, 15408, 30200, 3619, 3630, 16481, 7074, 6602, 5798, 7956, 15930, 6048, 3350, 20115, 14940, 3849, 5450, 15390, 4362, 35712, 25092, 20934, 5139, 15570, 40896, 10350, 4896, 6167, 3672, 3228, 5784, 7141, 11300, 12418, 4497, 4896, 26640, 5186, 1600, 5400, 4522, 10620, 4402, 6680, 7280, 5323, 7192, 6473, 7677, 13412, 14436, 17073, 15096, 9000, 12726, 13715, 10628, 10776, 9648, 8051, 8820, 6588, 16920, 8736, 20304, 12467, 10976, 15026, 13914, 10953, 16457, 18202, 25381, 13800, 19353, 11224, 15207, 9582, 11952, 5770, 9000, 10176, 12015, 10539, 10170, 16164, 10305, 4860, 19350, 7936, 7640, 7640, 10387, 7640, 7640, 4338, 2652, 2652, 2652, 9208, 10692, 11160, 6738, 11880, 6738, 6500, 6974, 6738, 9000, 5144
#> $ fee_grad_res                  <dbl> 1236, 0, 1390, 508, 0, 1624, 840, 640, 1226, 610, 802, 1385, 410, 696, 1011, 451, 1604, 971, 1292, 1026, 1287, 500, 0, 918, 220, 710, 150, 3603, 1385, 1256, 1138, 1595, 1568, 951, 841, 1088, 1092, 988, 911, 1115, 1428, 2017, 1844, 1463, 2118, 1865, 370, 0, 300, 40, 85, 500, 1737, 180, 930, 135, 0, 80, 619, 380, 120, 0, 172, 1612, 354, 1012, 50, 1946, 0, 0, 1916, 713, 400, 2488, 1738, 0, 1774, 840, 2088, 303, 0, 184, 2510, 4460, 2270, 80, 510, 200, 720, 0, 828, 4722, 4801, 792, 50, 690, 526, 45, 0, 0, 100, 1956, 1294, 1857, 1190, 250, 2185, 200, 1967, 0, 1200, 1016, 1797, 802, 400, 0, 0, 2078, 0, 0, 450, 80, 1974, 1602, 400, 1454, 1850, 3180, 2200, 1376, 2022, 2092, 2270, 0, 2116, 1962, 0, 880, 130, 2208, 1713, 2070, 120, 0, 260, 360, 330, 2769, 250, 1900, 3080, 720, 1504, 500, 100, 848, 0, 390, 0, 0, 1981, 440, 1389, 100, 0, 100, 313, 327, 375, 450, 4059, 1642, 3558, 0, 200, 960, 0, 588, 500, 200, 595, 0, 930, 428, 0, 1075, 1501, 0, 280, 0, 240, 1884, 657, 0, 958, 406, 862, 0, 1514, 0, 0, 110, 905, 0, 300, 300, 150, 0, 2755, 2483, 1872, 1064, 2166, 2172, 1829, 3996, 3939, 1980, 1142, 0, 830, 682, 1508, 1924, 2448, 210, 1800, 60, 270, 1538, 1404, 0, 1512, 60, 0, 40, 0, 580, 90, 710, 88, 8563, 0, 30, 0, 2556, 375, 2089, 355, 280, 4671, 162, 195, 405, 52, 0, 60, 2664, 690, 0, 790, 0, 1235, 0, 766, 150, 328, 0, 722, 432, 0, 350, 310, 290, 1757, 923, 0, 0, 0, 0, 669, 1495, 0, 883, 0, 214, 360, 777, 684, 1277, 0, 120, 120, 100, 20, 600, 0, 110, 300, 1095, 701, 126, 396, 324, 660, 0, 2342, 0, 490, 546, 1101, 910, 330, 0, 100, 1758, 525, 1203, 1441, 1676, 0, 1131, 532, 535, 1175, 175, 0, 630, 50, 400, 198, 870, 910, 968, 2718, 1944, 3316, 700, 1676, 2806, 3131, 450, 2097, 60, 1186, 3214, 0, 1386, 2083, 1598, 1526, 853, 0, 1624, 1335, 970, 724, 650, 790, 2002, 85, 308, 432, 430, 470, 860, 491, 970, 490, 111, 290, 1904, 540, 0, 620, 950, 160, 0, 276, 2432, 100, 350, 1000, 300, 274, 50, 0, 814, 351, 180, 340, 1824, 2051, 2477, 1696, 711, 1284, 1063, 515, 480, 1242, 1000, 550, 200, 2977, 549, 2632, 0, 2162, 50, 0, 105, 2902, 1963, 3026, 2636, 2477, 2484, 2595, 2285, 0, 536, 490, 0, 2844, 720, 1375, 1458, 962, 1405, 0, 0, 1765, 0, 34, 1678, 114, 50, 685, 0, 0, 918, 420, 0, 638, 0, 500, 450, 865, 0, 0, 1555, 176, 300, 100, 0, 12, 410, 1905, 2668, 751, 673, 2702, 2070, 3283, 306, 1110, 490, 1434, 0, 180, 1651, 1852, 213, 1317, 0, 1710, 0, 263, 2573, 90, 3916, 130, 468, 5096, 138, 840, 0, 230, 550, 0, 450, 274, 2923, 570, 1030, 0, 1314, 1415, 0, 948, 3318, 990, 0, 550, 50, 600, 3384, 3771, 890, 100, 0, 2399, 300, 1728, 0, 0, 0, 0, 1566, 100, 700, 40, 0, 12914, 856, 0, 400, 120, 300, 0, 1042, 1473, 730, 200, 260, 0, 0, 1379, 0, 70, 30, 1643, 1260, 1776, 1790, 1394, 1040, 1171, 0, 20, 0, 2612, 3006, 350, 2732, 800, 0, 1440, 2146, 2485, 1360, 1166, 1192, 982, 1575, 1958, 2367, 0, 1450, 2029, 1733, 816, 2782, 540, 150, 324, 2184, 680, 5664, 960, 1531, 1801, 2437, 2141, 3120, 1678, 0, 0, 1126, 1480, 48, 1915, 5118, 2125, 2364, 1180, 1947, 0, 756, 954, 630, 1054, 912, 182, 0, 2176, 1916, 5258, 500, 60, 3096, 35, 1104, 379, 92, 3030, 180, 2744, 1190, 2065, 2167, 2654, 0, 841, 424, 200, 100, 0, 765, 1529, 1059, 921, 0, 1734, 0, 700, 0, 0, 120, 0, 0, 0, 0, 0, 1271, 1122, 1402, 1066, 1396, 1335, 900, 900, 900, 794, 300, 300, 1911, 500, 907, 290, 1987, 1075, 0, 1690
#> $ tuit_grad_nres                <dbl> 16260, 17294, 11700, 21830, 26950, 27216, 9540, 20592, 11196, 18530, 14292, 17233, 11700, 23480, 31124, 17781, 17400, 18842, 9252, 9864, 9188, 15678, 13152, 7452, 16224, 11430, 17500, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 26322, 26322, 26322, 26322, 26322, 26896, 8150, 16722, 14940, 17550, 17532, 15666, 13320, 12888, 10452, 11232, 15696, 16713, 44068, 31300, 10980, 20100, 15666, 25470, 15666, 23310, 15666, 27594, 36657, 15666, 41592, 34680, 10332, 22374, 20153, 28656, 12567, 23604, 45288, 11250, 20720, 14940, 18102, 34762, 16632, 12060, 15660, 17730, 20745, 12822, 18102, 18102, 30960, 8190, 28422, 17100, 28800, 13410, 17820, 13050, 25759, 16296, 22108, 16695, 22338, 21393, 16725, 27335, 13320, 21964, 34200, 19585, 18373, 10755, 18996, 9630, 19048, 14076, 16768, 12269, 10584, 22166, 13590, 11736, 13507, 11952, 39800, 27872, 13248, 18486, 26518, 24090, 8910, 15750, 15498, 18600, 36768, 17190, 20682, 20870, 21268, 8851, 10800, 15300, 14328, 18960, 16656, 29730, 14736, 22217, 17168, 15038, 29784, 14310, 18594, 9662, 10962, 15372, 12906, 20426, 50424, 12816, 14845, 24750, 12780, 18996, 17993, 13302, 15100, 26310, 11156, 11651, 11663, 6750, 11460, 7872, 35492, 16691, 13986, 15661, 13000, 16403, 11070, 11700, 21786, 26460, 6996, 16020, 17964, 9990, 18414, 9676, 10068, 22176, 9306, 21828, 12000, 16302, 10764, 10085, 16786, 12704, 10950, 11904, 5670, 6552, 16320, 9132, 19478, 16778, 20673, 16617, 18590, 19017, 5336, 19239, 49030, 24498, 8460, 18468, 24468, 19062, 12384, 9108, 8100, 50410, 15840, 11862, 25272, 13860, 12167, 12060, 14106, 10530, 11610, 22420, 33800, 27216, 49176, 48507, 1675, 13736, 42800, 14793, 3186, 25853, 29644, 32913, 22633, 4140, 20556, 29640, 27068, 32333, 24120, 25344, 2700, 25128, 18216, 12942, 27666, 27840, 13712, 12720, 19116, 43346, 32940, 19998, 14922, 24648, 24517, 10710, 6927, 31939, 28195, 12778, 9630, 8550, 8532, 14370, 25120, 8820, 11201, 8100, 24386, 14076, 6885, 10120, 5269, 10080, 6298, 7141, 21912, 6858, 10206, 20900, 16419, 8400, 7575, 13366, 8496, 7200, 12654, 15672, 9405, 9103, 8025, 15030, 19350, 11767, 9324, 48950, 12690, 8400, 18742, 9810, 7200, 12987, 20412, 14038, 7200, 18878, 18662, 16000, 13560, 18810, 10494, 9810, 16720, 15660, 21564, 18000, 15102, 12960, 17966, 17831, 24156, 15837, 28092, 14545, 22239, 28128, 19476, 33328, 16449, 12024, 17856, 9880, 7552, 22643, 14254, 14376, 8730, 37623, 32517, 14310, 29286, 26460, 43552, 29500, 18720, 18720, 18720, 16380, 15624, 32160, 22320, 19116, 27087, 13536, 28272, 17505, 14040, 15156, 19170, 13500, 13230, 42610, 39936, 21870, 10350, 28680, 13482, 41804, 12240, 13194, 14382, 16182, 15930, 15888, 22210, 22210, 22210, 22210, 22210, 22210, 22210, 22210, 22210, 34632, 16200, 17483, 19800, 17913, 11326, 17547, 12654, 14219, 7722, 9900, 13770, 16950, 26854, 17423, 18566, 17347, 22610, 16667, 13896, 11520, 11194, 37520, 9450, 14755, 12100, 6865, 19184, 14873, 13237, 5713, 12697, 13284, 11250, 42576, 24532, 16297, 16020, 14400, 16008, 19362, 11349, 10200, 10260, 29604, 8964, 10825, 10620, 32008, 17502, 12600, 23502, 18636, 18936, 11970, 22890, 10908, 12992, 9270, 20772, 15010, 8813, 19801, 13734, 18989, 10674, 11652, 22230, 13354, 15504, 15000, 21799, 24759, 30421, 20736, 17496, 17892, 19560, 13140, 17400, 11520, 17400, 16261, 16254, 17400, 7824, 32184, 22212, 16200, 17370, 11934, 11772, 13248, 17400, 23020, 43320, 25560, 17636, 9300, 12060, 34266, 32286, 15858, 12240, 25000, 11352, 12672, 17400, 17400, 21636, 17917, 15840, 17400, 24800, 22368, 13260, 26832, 11826, 8880, 24206, 9180, 7542, 3750, 15075, 70, 18424, 7650, 27008, 24144, 27570, 6840, 14449, 22280, 20160, 8580, 22600, 5700, 18576, 22248, 9024, 11376, 18956, 17604, 22086, 24218, 29232, 14262, 20020, 23720, 6426, 6870, 19890, 11128, 28494, 12240, 10912, 15408, 30200, 11564, 10974, 16481, 15696, 13046, 13142, 17100, 15930, 13392, 10694, 20115, 14940, 5019, 12794, 15390, 12390, 35712, 25092, 20934, 12483, 15570, 40896, 10350, 12240, 14327, 11015, 10572, 15953, 15638, 21518, 24150, 12326, 12294, 26640, 20785, 8244, 12744, 11867, 10620, 5081, 6680, 22861, 18632, 17718, 22848, 16161, 13412, 14436, 17073, 38160, 24686, 12726, 13715, 29306, 10776, 26688, 8051, 8820, 15462, 16920, 25548, 20304, 25095, 22479, 25168, 13914, 25438, 16457, 18202, 25381, 13800, 19353, 24656, 27255, 19866, 11952, 14114, 23238, 10176, 12015, 10539, 10170, 16164, 10305, 4860, 19350, 7936, 16771, 16771, 23424, 16771, 16771, 12978, 2652, 2652, 2652, 28010, 10692, 11160, 15666, 11880, 15666, 6500, 28170, 15666, 9000, 17544
#> $ fee_grad_nres                 <dbl> 1236, 0, 1390, 508, 0, 1624, 840, 640, 1226, 610, 802, 1727, 410, 696, 1011, 513, 1604, 971, 1292, 1026, 1287, 500, 0, 918, 220, 710, 150, 3603, 1385, 1256, 1138, 1595, 1568, 951, 841, 1088, 1092, 988, 911, 1115, 1428, 2017, 1844, 1463, 2118, 1865, 370, 0, 300, 40, 85, 500, 1737, 180, 930, 135, 0, 80, 619, 380, 120, 0, 172, 1612, 354, 1012, 50, 1946, 0, 0, 1916, 713, 400, 2488, 1738, 0, 1774, 840, 2088, 303, 0, 184, 2510, 5654, 2270, 80, 510, 200, 720, 0, 828, 5917, 5996, 792, 50, 690, 526, 45, 0, 0, 100, 2898, 1294, 2561, 1751, 250, 2809, 200, 2795, 0, 1200, 1016, 2348, 802, 400, 0, 0, 2078, 0, 0, 450, 80, 2728, 1602, 400, 1454, 1850, 3180, 2200, 1376, 2022, 2092, 2270, 0, 2116, 1962, 0, 880, 130, 2208, 1713, 2070, 120, 0, 260, 360, 330, 2769, 250, 1900, 3080, 720, 1504, 500, 100, 848, 0, 390, 0, 0, 1981, 440, 1389, 100, 0, 100, 313, 327, 375, 450, 4059, 1782, 3558, 0, 200, 960, 0, 588, 500, 200, 595, 0, 930, 428, 0, 1075, 1501, 0, 280, 0, 240, 1884, 657, 0, 958, 406, 862, 0, 1514, 0, 0, 110, 905, 0, 300, 300, 150, 0, 19690, 2483, 1872, 1064, 2166, 2172, 1829, 13996, 3939, 1980, 1142, 0, 830, 682, 1508, 1924, 2448, 210, 1800, 60, 270, 1538, 1404, 0, 1512, 60, 0, 40, 0, 580, 90, 710, 88, 8563, 0, 30, 0, 2556, 375, 2089, 355, 280, 4671, 162, 195, 405, 52, 0, 60, 2664, 690, 0, 790, 0, 1235, 0, 766, 150, 328, 0, 722, 432, 0, 350, 310, 290, 1757, 923, 0, 0, 0, 0, 669, 1495, 0, 883, 0, 214, 360, 777, 684, 1277, 0, 120, 10473, 100, 20, 600, 0, 110, 300, 1095, 701, 126, 396, 324, 660, 0, 2342, 0, 490, 546, 1101, 910, 330, 0, 100, 1812, 525, 1203, 1441, 1676, 0, 1131, 532, 535, 1175, 175, 0, 630, 50, 400, 198, 870, 910, 968, 2718, 1944, 3316, 700, 1676, 2806, 3131, 450, 2097, 60, 1186, 3214, 0, 1386, 2083, 1598, 1526, 853, 0, 1624, 1335, 970, 724, 650, 790, 2002, 85, 308, 432, 430, 470, 860, 491, 970, 490, 111, 290, 1904, 540, 0, 620, 950, 160, 0, 276, 2432, 100, 350, 1000, 300, 274, 50, 0, 814, 351, 180, 340, 1824, 2051, 2477, 1696, 711, 1284, 1063, 515, 480, 1242, 1000, 550, 200, 2977, 549, 2632, 0, 2162, 50, 0, 105, 2902, 1963, 3026, 2636, 2477, 2484, 2595, 2285, 0, 536, 490, 0, 2844, 720, 1375, 1458, 962, 1405, 0, 0, 1765, 0, 34, 1678, 114, 50, 685, 0, 0, 918, 420, 0, 638, 0, 500, 450, 865, 0, 0, 1555, 176, 300, 100, 0, 12, 410, 1905, 2668, 751, 673, 2702, 2070, 3283, 306, 1110, 490, 1434, 0, 180, 1651, 1852, 213, 1317, 0, 1710, 0, 263, 2861, 90, 5119, 130, 468, 6875, 138, 840, 0, 230, 550, 0, 450, 274, 3825, 570, 1030, 0, 1452, 1415, 0, 948, 3318, 990, 0, 550, 50, 600, 3672, 4930, 890, 100, 0, 2615, 300, 1728, 0, 0, 0, 0, 1566, 100, 700, 40, 0, 32888, 856, 0, 400, 120, 300, 0, 1042, 1473, 730, 200, 260, 0, 0, 1379, 0, 70, 30, 1643, 1260, 1776, 2020, 1394, 1040, 1171, 0, 20, 0, 2612, 3006, 350, 3161, 800, 0, 1440, 2146, 2485, 1360, 1166, 1192, 982, 1575, 1958, 2796, 0, 1450, 2029, 1733, 816, 2782, 540, 150, 324, 2184, 680, 5664, 960, 1531, 1801, 2437, 2141, 3120, 1678, 0, 0, 1126, 1480, 48, 1915, 5666, 2125, 2364, 1180, 1947, 0, 756, 954, 630, 1054, 912, 182, 0, 2176, 1916, 5814, 500, 60, 3096, 35, 1608, 379, 92, 3030, 180, 3312, 1190, 2669, 2792, 3336, 0, 841, 424, 200, 100, 0, 765, 1529, 1059, 921, 0, 1946, 0, 700, 0, 0, 120, 0, 0, 0, 0, 0, 1271, 1122, 1402, 1066, 1396, 1335, 900, 900, 900, 794, 300, 300, 1911, 500, 907, 290, 3046, 1075, 0, 1690
#> $ books_supplies                <dbl> 1600, 1200, 1500, 1688, 1200, 1200, 1800, 1020, 1500, 1000, 1129, 1400, 1220, 1103, 800, 1000, 1715, 1046, 1137, 1410, 1200, 1200, 800, 1600, 1792, 1790, 1791, 1848, 1898, 1500, 1791, 1650, 1792, 1764, 1792, 1898, 1500, 1898, 1898, 1600, 1792, 1601, 1766, 1636, 1716, 1541, 1500, 1700, 1790, 1854, 1920, 1792, 1660, 1791, 1791, 1900, 1592, 1844, 1791, 1791, 1500, 1790, 1775, 1818, 1800, 1900, 1600, 1899, 1791, 1107, 1790, 1200, 1800, 1800, 1800, 1800, 1800, 1000, 1200, 1200, 1800, 1000, 1500, 1300, 850, 1150, 972, 1000, 800, 1200, 1000, 1400, 1300, 800, 1800, 800, 1600, 1275, 1040, 1500, 800, 1152, 1400, 1138, 1320, 1200, 1590, 1244, 1210, 1320, 2000, 930, 1200, 1500, 1030, 1250, 1720, 1200, 850, 1200, 1600, 1500, 1200, 1298, 1300, 1222, 1270, 1224, 800, 1400, 1500, 1200, 1006, 1400, 1200, 1500, 1600, 952, 1200, 1200, 1000, 1214, 1200, 1000, 1200, 1200, 1104, 150, 1000, 900, 1400, 1510, 942, 1500, 1500, 1200, 1000, 1350, 1200, 1000, 1400, 1620, 2400, 1000, 1500, 1200, 1200, 1200, 800, 1200, 1100, 840, 900, 1200, 1200, 1000, 1000, 1250, 1140, 1170, 1204, 1380, 1200, 1200, 950, 995, 950, 1280, 1200, 1560, 1200, 1000, 1080, 1500, 1080, 986, 856, 1490, 1000, 2547, 1000, 1000, 1000, 792, 1100, 1200, 1200, 1000, 1160, 1500, 1220, 1220, 1220, 1220, 1220, 1240, 1220, 1200, 1000, 1200, 1200, 800, 1600, 2200, 1400, 1200, 1220, 1250, 0, 1200, 2500, 1300, 1300, 1200, 1000, 1000, 1100, 1260, 1250, 1000, 1000, 800, 1500, 800, 1150, 1000, 1200, 1000, 800, 1000, 1200, 1280, 1000, 1200, 1200, 1240, 1000, 1368, 1100, 1000, 904, 880, 1000, 1200, 1000, 1453, 1048, 1076, 1300, 1000, 764, 1350, 1000, 800, 1196, 948, 1200, 1186, 2000, 480, 1500, 1000, 600, 1200, 1300, 1000, 1000, 1200, 1200, 1556, 1200, 1000, 2300, 1200, 1400, 1100, 1200, 1200, 3300, 1040, 1000, 1200, 1000, 1000, 1200, 1200, 400, 1800, 1485, 1200, 502, 1100, 980, 1000, 1200, 1400, 1350, 1600, 1080, 1012, 1040, 1120, 1298, 1300, 1200, 1000, 1200, 1337, 1400, 2100, 1200, 1230, 1300, 1350, 1600, 1200, 1384, 1234, 1300, 2600, 1569, 1500, 1350, 1000, 1200, 1597, 1698, 1600, 950, 1100, 1080, 1298, 1200, 1466, 1020, 1300, 1000, 1416, 1000, 1400, 910, 1364, 1364, 1364, 1200, 1500, 1012, 1000, 1500, 1300, 1300, 2000, 1200, 1000, 1524, 1470, 1200, 1185, 1589, 1070, 1104, 1000, 800, 1100, 1050, 1200, 800, 1200, 1000, 1100, 615, 1200, 1000, 1196, 900, 1037, 1600, 800, 1528, 1500, 1440, 778, 1400, 822, 700, 1600, 1280, 900, 400, 1300, 1160, 1200, 1400, 1442, 1200, 956, 1500, 1082, 1104, 1505, 1500, 1200, 1400, 1400, 2151, 1222, 1100, 1000, 800, 1000, 912, 1582, 1010, 1550, 1200, 1500, 800, 1000, 1240, 1000, 1200, 1100, 1320, 1200, 1216, 1400, 1200, 1100, 1234, 1030, 2000, 1150, 1216, 1200, 1104, 1248, 1000, 1100, 900, 1200, 1600, 1260, 1260, 1500, 714, 1000, 1218, 1200, 1425, 950, 900, 1551, 1122, 1050, 2090, 864, 999, 1144, 1500, 1200, 1200, 1000, 1020, 1000, 1000, 1000, 1700, 1400, 1200, 1066, 900, 1200, 1080, 1100, 1000, 1100, 1000, 1597, 1000, 1488, 1840, 1280, 1200, 1500, 2000, 1300, 1200, 1200, 1550, 1000, 1100, 1500, 1200, 1300, 1500, 1200, 1300, 1500, 940, 1200, 1400, 2000, 1400, 1060, 1159, 1308, 2200, 1023, 1160, 1000, 950, 1200, 1550, 1400, 1600, 1000, 1400, 1500, 1090, 1420, 1200, 1400, 1415, 1540, 1400, 1598, 1400, 2300, 2300, 1471, 1250, 1250, 1200, 1444, 1274, 868, 1260, 1200, 1400, 1400, 1000, 1064, 1210, 1200, 1300, 1200, 1000, 1456, 1550, 1300, 1350, 1000, 1200, 1300, 800, 1050, 1094, 1000, 1300, 800, 1298, 1192, 820, 1200, 1344, 1054, 1206, 662, 1200, 1216, 1292, 1050, 1000, 1524, 1200, 1050, 1650, 1000, 812, 1600, 810, 976, 1232, 1200, 1000, 1000, 1500, 1200, 1350, 1000, 1000, 1200, 1100, 990, 1771, 1000, 1200, 1000, 1000, 1500, 1210, 2804, 1294, 1000, 900, 1092, 1000, 825, 1000, 1500, 960, 825, 906, 840, 1000, 900, 625, 700, 1078, 1600, 800, 950, 800, 1008, 1000, 400, 1000, 800, 500, 370, 1200, 1700, 1700, 1700, 1220, 1400, 1800, 1764, 1600, 1339, 200, 1200, 1898, 1046, 2000
#> $ roomboard_off                 <dbl> 8830, 11682, 9600, 9603, 13050, 12898, 8000, 8980, 7284, 9850, 5815, 12080, 15060, 9216, 11300, 9262, 9406, 10332, 8910, 12634, 7054, 6756, 2500, 6915, 12494, 12370, 12492, 12507, 13780, 10900, 13770, 12588, 11360, 12888, 12492, 13882, 13884, 12910, 13882, 11358, 12492, 8606, 9814, 10667, 9008, 10131, 12268, 12400, 4968, 13293, 13200, 13500, 12638, 12492, 12492, 12298, 11104, 12916, 12492, 12492, 14330, 12492, 12492, 12050, 12492, 13882, 13990, 13882, 12492, 12240, 13882, 14348, 12492, 9693, 11205, 10400, 11788, 8910, 9693, 12021, 9694, 12265, 8520, 10503, 12436, 13860, 11986, 11468, 13850, 10462, 10750, 9698, 11884, 12068, 6000, 15698, 13040, 12500, 11440, 11400, 11608, 9764, 10826, 9636, 11364, 13610, 11837, 10680, 9910, 16740, 8544, 16490, 9934, 19125, 8776, 11530, 11680, 9700, 13997, 12326, 3500, 6500, 9354, 10622, 9684, 11750, 9030, 13486, 13640, 7672, 13150, 9800, 8032, 8540, 9258, 6849, 12478, 13030, 17362, 8974, 8280, 8354, 8350, 3858, 10010, 5850, 13387, 9546, 5500, 10868, 10882, 10260, 8082, 8000, 7000, 11500, 7500, 15300, 8565, 8980, 10776, 15489, 6588, 12660, 6111, 7750, 8600, 16699, 7200, 7206, 10186, 9211, 9580, 6000, 4000, 12947, 8000, 6812, 9920, 9696, 7170, 7010, 7400, 8900, 9060, 8356, 8588, 5440, 9470, 8120, 7970, 8392, 7710, 7590, 9610, 11169, 7662, 10881, 7025, 5955, 6296, 10252, 10575, 11820, 3600, 6750, 8400, 7713, 15772, 6516, 9074, 9073, 9074, 9073, 9072, 9714, 9073, 13844, 10164, 7200, 9980, 6500, 14200, 13114, 6000, 11240, 10255, 7870, 15430, 13966, 11876, 7500, 11352, 4630, 6012, 11660, 3500, 15130, 10200, 14870, 11330, 12200, 8000, 8450, 8881, 6380, 5150, 11897, 9200, 15050, 10310, 14500, 11890, 10000, 14882, 9730, 13410, 5400, 10464, 7346, 6324, 9514, 7400, 7780, 8810, 10107, 10872, 9784, 8064, 8706, 6252, 9185, 10040, 9270, 9134, 9561, 17358, 6600, 8500, 9894, 9610, 9377, 4120, 8230, 7700, 8700, 9010, 7686, 8460, 9356, 9000, 7374, 6100, 10002, 7394, 9812, 9418, 10000, 5900, 9488, 8350, 6290, 5104, 7998, 9000, 6521, 8558, 6400, 10125, 10640, 8508, 8288, 15596, 9516, 2050, 8826, 10350, 7164, 8648, 9774, 8354, 7110, 9190, 10558, 12200, 11700, 9514, 9708, 9990, 13500, 10894, 10575, 13000, 9882, 9475, 12446, 10973, 8967, 10964, 10300, 10849, 9600, 17934, 7500, 14350, 11942, 5670, 10800, 7496, 9108, 9472, 8944, 12800, 8224, 9720, 12196, 8000, 9892, 9600, 17010, 13900, 13713, 13713, 13713, 11570, 10000, 11924, 17315, 14400, 10230, 12970, 25000, 15010, 13250, 8096, 9436, 9900, 13380, 13000, 17578, 15558, 9300, 18312, 7222, 12500, 7000, 11463, 12356, 6500, 11740, 12450, 9750, 8090, 11241, 12900, 12982, 12000, 13390, 11600, 11948, 15217, 12865, 10036, 13260, 8380, 10760, 9241, 11495, 8070, 5400, 11600, 6244, 7153, 12218, 9823, 8744, 9636, 10635, 8624, 8208, 10700, 7300, 13404, 7000, 10100, 7292, 8264, 7856, 8136, 12342, 5500, 8882, 7446, 11000, 14298, 12102, 12000, 12680, 5795, 11250, 10720, 6176, 7760, 6300, 12454, 4150, 9000, 6360, 11706, 12268, 10200, 7514, 11508, 6450, 8538, 11376, 11730, 8990, 8136, 5400, 9772, 6378, 8840, 9814, 10280, 5544, 5112, 11338, 8930, 10528, 8650, 11874, 9807, 11822, 12200, 7556, 9699, 8998, 5100, 8912, 10000, 10524, 10784, 11042, 11146, 13328, 14367, 11760, 7200, 11990, 4000, 12000, 10062, 12044, 7500, 7100, 12690, 9268, 10000, 12858, 11230, 14536, 3150, 12880, 11000, 9400, 9212, 9504, 8080, 12336, 13093, 7090, 12860, 8190, 8618, 10460, 9000, 6700, 13650, 9586, 10450, 9990, 9050, 5905, 10897, 9144, 9892, 10540, 7928, 7464, 8630, 8008, 9711, 11330, 7508, 8700, 7690, 9980, 7952, 5090, 7880, 5000, 9153, 8246, 9100, 10238, 7996, 6610, 8750, 8500, 9400, 9310, 8216, 10576, 7204, 9114, 10692, 8500, 9532, 7780, 8973, 9704, 8720, 7996, 11067, 10794, 7550, 6910, 10332, 7590, 8012, 7960, 7872, 7355, 13750, 11112, 10090, 8720, 4000, 8700, 13694, 8868, 7260, 9710, 7466, 10368, 8410, 10070, 10190, 9496, 9970, 12000, 9558, 12974, 9081, 6885, 11000, 8582, 7448, 7500, 7880, 5960, 9936, 8000, 7904, 10576, 12920, 10000, 11382, 7965, 8000, 12186, 11700, 9334, 8046, 10120, 11118, 13430, 10864, 9990, 8720, 11280, 10726, 9648, 10941, 11158, 7800, 10330, 9100, 11499, 11356, 14625, 10524, 9585, 8426, 8340, 7850, 6517, 6718, 10280, 8370, 5664, 3750, 12160, 8510, 7538, 7600, 10030, 7350, 7600, 10320, 8000, 8000, 8000, 9460, 8936, 11104, 12826, 11448, 15450, 6000, 9672, 13882, 17654, 13128
#> $ oth_expense_off               <dbl> 3090, 4886, 1600, 3578, 4116, 5664, 4700, 3180, 2800, 5498, 5227, 4250, 4160, 4708, 5200, 5070, 5213, 4104, 5202, 4766, 5471, 2414, 2850, 6939, 4158, 4158, 4258, 2646, 2924, 2516, 2658, 2716, 2478, 2870, 2658, 2924, 2706, 2934, 2924, 2182, 2658, 5665, 5383, 5140, 5317, 5621, 4100, 4340, 4286, 4239, 4610, 4292, 2444, 4258, 4536, 5382, 3696, 4914, 4245, 4158, 2500, 4158, 4156, 3296, 4158, 2966, 3800, 2925, 4158, 3170, 2924, 1880, 4158, 2763, 5193, 4600, 2294, 1600, 1360, 2634, 3272, 6776, 10208, 3671, 2650, 1730, 2806, 2760, 2500, 3150, 2644, 3972, 2920, 1500, 1800, 921, 5500, 1900, 2660, 7700, 5783, 4970, 4458, 6313, 5718, 3000, 5354, 1626, 3750, 3524, 7272, 3062, 3834, 8010, 5678, 6170, 2552, 4100, 8448, 3000, 2400, 3630, 2100, 3860, 4500, 2500, 4460, 2416, 3260, 6044, 5303, 5654, 3952, 2890, 4994, 6195, 2245, 2899, 2220, 4030, 5921, 3840, 3440, 3520, 2240, 1700, 2364, 2067, 4000, 7000, 3628, 4230, 5538, 2000, 2504, 1600, 3250, 5940, 6261, 2100, 2584, 2532, 6489, 1000, 4479, 3900, 7700, 1450, 4120, 3106, 2941, 2768, 3570, 2800, 1600, 2550, 3200, 6512, 3082, 2308, 3798, 2692, 3000, 1620, 3790, 2430, 3420, 6434, 5924, 2872, 4880, 3470, 3836, 4422, 3070, 3190, 3860, 3122, 4252, 1906, 6341, 3581, 4769, 5432, 6150, 5500, 6700, 3307, 5420, 4635, 3918, 3919, 3992, 3919, 3916, 3971, 3919, 1060, 2200, 2700, 3000, 2600, 4150, 1600, 3706, 3100, 1044, 1670, 5850, 3932, 4045, 2300, 2700, 3290, 2000, 1800, 2400, 1200, 1700, 1950, 1500, 2800, 2700, 1050, 2422, 2200, 1922, 1400, 2956, 1800, 3402, 2550, 2000, 2072, 3075, 3300, 1200, 3200, 4400, 938, 3452, 5448, 2578, 6614, 2890, 4248, 2454, 2368, 3364, 3910, 4464, 3246, 1556, 1756, 5754, 2366, 2500, 4864, 2000, 1200, 8186, 2200, 4000, 2700, 2390, 2746, 2350, 3156, 3060, 6712, 2600, 4200, 5100, 4660, 4400, 4060, 5184, 3570, 6085, 2984, 2400, 3200, 4152, 6338, 4300, 3409, 2575, 3246, 4216, 3448, 4482, 4034, 3408, 8104, 3200, 3757, 2700, 4824, 3630, 3870, 3262, 2772, 5682, 4500, 3100, 2250, 8206, 2245, 5722, 3800, 4121, 2856, 1780, 6600, 3681, 4500, 3550, 3926, 5576, 5400, 6282, 2030, 3013, 2900, 1050, 3983, 375, 5400, 4498, 3912, 5154, 3764, 2650, 5080, 7208, 1950, 1500, 2446, 3096, 4860, 1850, 5302, 5302, 5302, 3000, 3650, 2748, 3096, 1850, 3660, 1400, 2500, 2000, 2425, 3348, 9804, 2100, 1100, 2010, 2000, 4452, 5990, 2920, 3450, 976, 3275, 1400, 2460, 4000, 1400, 2062, 2086, 2632, 3505, 5336, 3332, 2800, 1600, 2284, 3600, 1665, 4666, 2808, 2313, 3286, 4000, 3644, 2600, 2426, 2600, 2850, 2460, 4220, 3404, 3496, 2536, 4667, 2442, 4604, 3296, 2000, 3472, 2400, 2774, 2516, 2490, 3500, 3422, 3400, 3152, 3728, 5122, 4790, 4948, 1900, 5666, 3470, 1750, 1230, 3000, 3582, 3530, 2730, 3700, 2014, 4500, 1800, 5194, 2870, 2706, 1500, 5358, 1200, 4550, 2532, 2784, 2000, 3635, 3890, 2000, 8546, 5496, 4650, 4260, 5433, 3760, 6210, 4524, 2955, 2120, 2520, 2550, 2349, 1680, 3700, 1774, 3252, 2210, 3600, 3140, 1700, 4350, 2082, 3500, 3596, 1800, 4278, 2200, 1125, 2510, 1150, 4750, 1328, 2288, 1000, 2500, 1065, 5783, 1700, 2470, 4788, 2060, 2100, 1518, 6000, 1868, 3000, 3258, 3604, 5934, 2300, 1410, 2520, 2358, 3000, 2500, 3200, 2409, 1600, 3785, 2300, 3770, 3600, 2100, 3977, 3502, 4314, 4111, 4184, 3000, 3935, 5441, 4538, 4750, 3204, 2716, 6440, 3250, 5700, 6606, 5150, 6130, 4512, 4162, 3600, 5666, 5518, 3420, 6000, 3649, 8010, 3350, 3480, 4430, 3140, 3241, 4968, 3200, 2037, 3938, 5534, 6900, 6918, 4178, 5508, 3416, 4300, 2572, 3136, 3030, 1830, 4376, 3300, 2556, 2050, 2460, 4762, 3796, 3000, 2600, 4764, 3454, 3910, 4118, 4768, 5820, 4512, 4310, 4180, 4292, 4044, 4700, 4666, 4866, 4420, 3708, 4256, 4854, 4500, 4800, 3770, 3434, 3678, 5052, 4410, 2174, 2700, 2302, 2025, 3300, 1800, 4908, 4500, 4150, 6274, 770, 2892, 3734, 2975, 2600, 2980, 3120, 2754, 2000, 3180, 3330, 3960, 2703, 3000, 4170, 3542, 3561, 3495, 3180, 3400, 2620, 4065, 5332, 4790, 2800, 3310, 4896, 3520, 4840, 2500, 3150, 2700, 3306, 3300, 4830, 3040, 4800, 4800, 4800, 1780, 2236, 3816, 2668, 4401, 2925, 1000, 3400, 2924, 3282, 1800
#> $ tuitfee_grad_res              <dbl> 9366, 7588, 13090, 10342, 10470, 10696, 10380, 10576, 6824, 19140, 7948, 9821, 12110, 11506, 12383, 9407, 9284, 8350, 5918, 5958, 5881, 16178, 13152, 5940, 16444, 12140, 17650, 10341, 8123, 7994, 7876, 8333, 8306, 7689, 7579, 7826, 7830, 7726, 7649, 7853, 8166, 13237, 13064, 12683, 13338, 13085, 27266, 8150, 17022, 14980, 17635, 18032, 8475, 13500, 13818, 10587, 11232, 15776, 17332, 44448, 31420, 10980, 20272, 8350, 25824, 7750, 23360, 8684, 27594, 36657, 8654, 42305, 35080, 6898, 8452, 9983, 12610, 13407, 11716, 45591, 11250, 20904, 17450, 10956, 15996, 16712, 12570, 15860, 18450, 20745, 13650, 11219, 11298, 31752, 8240, 29112, 17626, 28845, 13410, 17820, 13150, 8872, 17590, 9876, 6657, 22588, 11097, 16925, 12737, 13320, 23164, 35216, 10367, 19175, 11155, 18996, 9630, 10428, 14076, 16768, 12719, 10664, 9062, 5004, 12136, 6966, 7556, 42980, 15652, 4706, 7209, 8728, 10762, 8910, 6490, 5958, 18600, 16168, 17320, 8440, 8502, 8530, 8971, 10800, 15560, 14688, 19290, 9705, 29980, 9268, 16343, 17888, 8970, 30284, 14410, 19442, 9662, 11352, 15372, 12906, 13839, 50864, 7797, 14945, 24750, 12880, 19309, 18320, 13677, 15550, 14583, 7954, 11325, 11663, 6950, 12420, 7872, 36080, 8997, 7328, 7243, 13000, 17333, 11498, 11700, 9549, 10357, 6996, 16300, 17964, 10230, 7806, 4055, 10068, 10438, 9712, 10532, 12000, 7732, 10764, 10085, 8360, 6078, 10950, 12204, 5970, 6702, 11400, 11887, 9076, 7575, 8298, 7852, 8662, 8369, 9332, 9450, 51010, 8666, 8460, 7670, 25150, 14648, 9106, 9540, 8310, 52210, 15900, 8514, 13256, 8478, 12167, 8370, 14166, 10530, 11650, 22420, 34380, 27306, 49886, 48595, 10238, 13736, 42830, 14793, 5742, 14679, 15613, 17218, 22913, 7191, 20718, 29835, 15399, 32385, 24120, 25404, 5364, 25818, 12232, 13732, 27666, 16355, 13712, 13486, 19266, 21794, 16764, 12022, 10391, 16338, 13219, 11020, 7217, 16503, 14235, 12778, 9630, 8550, 8532, 7854, 17735, 8820, 8256, 8100, 24600, 14436, 7662, 7404, 6546, 10080, 6418, 7261, 7744, 6878, 10806, 7780, 7659, 8700, 8670, 7384, 8622, 7596, 12978, 16332, 9405, 6893, 8025, 15520, 19896, 7408, 5554, 49280, 12690, 8500, 5893, 10335, 4803, 6090, 8810, 14038, 4731, 5500, 5287, 17175, 13735, 18810, 9738, 9860, 17120, 15858, 22434, 18910, 16070, 15678, 12140, 16472, 24856, 12140, 21814, 17676, 22689, 18633, 19536, 34514, 13900, 12024, 12384, 6017, 6016, 9306, 4941, 14376, 4650, 38958, 33487, 15034, 29936, 27250, 45554, 29585, 10438, 10562, 10560, 16850, 16484, 32651, 23290, 19606, 27198, 13826, 30176, 18045, 14040, 15776, 20120, 13660, 13230, 42886, 42368, 21970, 10700, 29680, 13782, 42078, 12290, 13194, 15196, 16533, 16110, 16228, 12694, 12921, 13347, 12566, 11581, 12154, 11933, 11385, 11350, 35874, 17200, 18033, 20000, 7721, 11875, 7288, 12654, 5533, 7772, 9900, 13875, 7447, 11606, 7278, 7753, 7124, 10572, 7043, 5924, 11520, 11730, 38010, 9450, 7192, 12820, 8240, 8643, 6532, 9136, 5713, 12697, 9397, 11250, 42610, 14468, 9679, 16070, 15085, 16008, 11090, 12267, 10620, 10260, 13528, 8964, 11325, 11070, 12425, 9510, 12600, 14721, 18812, 19236, 12070, 13474, 10920, 8902, 11175, 23440, 6794, 4572, 7735, 15804, 8169, 4770, 6426, 22720, 12196, 15504, 15180, 13801, 16243, 30634, 14565, 17496, 16002, 19560, 13403, 14165, 11610, 15508, 16391, 16722, 16688, 7962, 33024, 22212, 16430, 17920, 11934, 12222, 13522, 14515, 23590, 44350, 25560, 11420, 10715, 12060, 20912, 35604, 16848, 12240, 25550, 11402, 13272, 14976, 15363, 16676, 18017, 15840, 13991, 25100, 24096, 13260, 26832, 11826, 8880, 13362, 9280, 8242, 3790, 15075, 12984, 9682, 7650, 12798, 13440, 14612, 6840, 8558, 9773, 20890, 8780, 22860, 5700, 18576, 9371, 9024, 11446, 18986, 10463, 9234, 9876, 12834, 9896, 9420, 10371, 6426, 6890, 19890, 6395, 31500, 12590, 6300, 16208, 30200, 5059, 5776, 18966, 8434, 7768, 6990, 8938, 17505, 8006, 5717, 20115, 16390, 5878, 7183, 16206, 7144, 36252, 25242, 21258, 7323, 16250, 46560, 11310, 6427, 7968, 6109, 5369, 8904, 8819, 11300, 12418, 5623, 6376, 26688, 7101, 6718, 7525, 6886, 11800, 6349, 6680, 8036, 6277, 7822, 7527, 8589, 13594, 14436, 19249, 17012, 14258, 13226, 13775, 13724, 10811, 10752, 8430, 8912, 9618, 17100, 11480, 21494, 14532, 13143, 17680, 13914, 11794, 16881, 18402, 25481, 13800, 20118, 12753, 16266, 10503, 11952, 7504, 9000, 10876, 12015, 10539, 10290, 16164, 10305, 4860, 19350, 7936, 8911, 8762, 11789, 8706, 9036, 5673, 3552, 3552, 3552, 10002, 10992, 11460, 8649, 12380, 7645, 6790, 8961, 7813, 9000, 6834
#> $ tuitfee_grad_nres             <dbl> 17496, 17294, 13090, 22338, 26950, 28840, 10380, 21232, 12422, 19140, 15094, 18960, 12110, 24176, 32135, 18294, 19004, 19813, 10544, 10890, 10475, 16178, 13152, 8370, 16444, 12140, 17650, 19269, 17051, 16922, 16804, 17261, 17234, 16617, 16507, 16754, 16758, 16654, 16577, 16781, 17094, 28339, 28166, 27785, 28440, 28187, 27266, 8150, 17022, 14980, 17635, 18032, 17403, 13500, 13818, 10587, 11232, 15776, 17332, 44448, 31420, 10980, 20272, 17278, 25824, 16678, 23360, 17612, 27594, 36657, 17582, 42305, 35080, 12820, 24112, 20153, 30430, 13407, 25692, 45591, 11250, 20904, 17450, 23756, 37032, 16712, 12570, 15860, 18450, 20745, 13650, 24019, 24098, 31752, 8240, 29112, 17626, 28845, 13410, 17820, 13150, 28657, 17590, 24669, 18446, 22588, 24202, 16925, 30130, 13320, 23164, 35216, 21933, 19175, 11155, 18996, 9630, 21126, 14076, 16768, 12719, 10664, 24894, 15192, 12136, 14961, 13802, 42980, 30072, 14624, 20508, 28610, 26360, 8910, 17866, 17460, 18600, 37648, 17320, 22890, 22583, 23338, 8971, 10800, 15560, 14688, 19290, 19425, 29980, 16636, 25297, 17888, 16542, 30284, 14410, 19442, 9662, 11352, 15372, 12906, 22407, 50864, 14205, 14945, 24750, 12880, 19309, 18320, 13677, 15550, 30369, 12938, 15209, 11663, 6950, 12420, 7872, 36080, 17191, 14186, 16256, 13000, 17333, 11498, 11700, 22861, 27961, 6996, 16300, 17964, 10230, 20298, 10333, 10068, 23134, 9712, 22690, 12000, 17816, 10764, 10085, 16896, 13609, 10950, 12204, 5970, 6702, 16320, 28822, 21961, 18650, 21737, 18783, 20762, 20846, 19332, 23178, 51010, 25640, 8460, 19298, 25150, 20570, 14308, 11556, 8310, 52210, 15900, 12132, 26810, 15264, 12167, 13572, 14166, 10530, 11650, 22420, 34380, 27306, 49886, 48595, 10238, 13736, 42830, 14793, 5742, 26228, 31733, 33268, 22913, 8811, 20718, 29835, 27473, 32385, 24120, 25404, 5364, 25818, 18216, 13732, 27666, 29075, 13712, 13486, 19266, 43674, 32940, 20720, 15354, 24648, 24867, 11020, 7217, 33696, 29118, 12778, 9630, 8550, 8532, 15039, 26615, 8820, 12084, 8100, 24600, 14436, 7662, 10804, 6546, 10080, 6418, 17614, 22012, 6878, 10806, 20900, 16529, 8700, 8670, 14067, 8622, 7596, 12978, 16332, 9405, 11445, 8025, 15520, 19896, 12868, 10234, 49280, 12690, 8500, 20554, 10335, 8403, 14428, 22088, 14038, 8331, 19410, 19197, 17175, 13735, 18810, 11124, 9860, 17120, 15858, 22434, 18910, 16070, 15678, 19910, 21147, 24856, 17513, 30898, 17676, 22689, 30225, 19536, 34514, 19663, 12024, 19242, 11963, 9150, 24169, 15107, 14376, 10354, 38958, 33487, 15034, 29936, 27250, 45554, 29585, 19028, 19152, 19150, 16850, 16484, 32651, 23290, 19606, 27198, 13826, 30176, 18045, 14040, 15776, 20120, 13660, 13230, 42886, 42368, 21970, 10700, 29680, 13782, 42078, 12290, 13194, 15196, 16533, 16110, 16228, 24034, 24261, 24687, 23906, 22921, 23494, 23273, 22725, 22690, 35874, 17200, 18033, 20000, 20890, 11875, 20179, 12654, 16381, 7772, 9900, 13875, 19852, 28817, 20449, 21202, 19824, 25094, 19262, 16181, 11520, 11730, 38010, 9450, 17599, 12820, 8240, 20642, 15835, 14642, 5713, 12697, 15049, 11250, 42610, 26210, 16411, 16070, 15085, 16008, 19362, 12267, 10620, 10260, 30242, 8964, 11325, 11070, 32873, 17502, 12600, 25057, 18812, 19236, 12070, 22890, 10920, 13402, 11175, 23440, 15761, 9486, 22503, 15804, 22272, 10980, 12762, 22720, 14788, 15504, 15180, 23450, 26611, 30634, 22053, 17496, 19602, 19560, 13403, 20261, 11610, 22519, 16391, 16722, 24275, 7962, 33024, 22212, 16430, 17920, 11934, 12222, 13522, 21225, 23590, 44350, 25560, 19088, 10715, 12060, 35214, 35604, 16848, 12240, 25550, 11402, 13272, 21072, 22330, 22526, 18017, 15840, 20015, 25100, 24096, 13260, 26832, 11826, 8880, 25772, 9280, 8242, 3790, 15075, 32958, 19280, 7650, 27408, 24264, 27870, 6840, 15491, 23753, 20890, 8780, 22860, 5700, 18576, 23627, 9024, 11446, 18986, 19247, 23346, 25994, 31252, 15656, 21060, 24891, 6426, 6890, 19890, 13740, 31500, 12590, 14073, 16208, 30200, 13004, 13120, 18966, 17056, 14212, 14334, 18082, 17505, 15350, 13490, 20115, 16390, 7048, 14527, 16206, 15172, 36252, 25242, 21258, 14667, 16250, 46560, 11310, 13771, 16128, 13452, 12713, 19073, 17316, 21518, 24150, 13452, 13774, 26688, 22700, 13910, 14869, 14231, 11800, 7028, 6680, 23617, 19586, 18348, 23902, 17073, 13594, 14436, 19249, 40076, 30500, 13226, 13775, 32402, 10811, 28296, 8430, 8912, 18492, 17100, 28860, 21494, 27764, 25271, 28504, 13914, 26279, 16881, 18402, 25481, 13800, 20118, 26185, 28314, 20787, 11952, 16060, 23238, 10876, 12015, 10539, 10290, 16164, 10305, 4860, 19350, 7936, 18042, 17893, 24826, 17837, 18167, 14313, 3552, 3552, 3552, 28804, 10992, 11460, 17577, 12380, 16573, 6790, 31216, 16741, 9000, 19234
#> $ coa_grad_res                  <dbl> 22886, 25356, 25790, 25211, 28836, 30458, 24880, 23756, 18408, 35488, 20119, 27551, 32550, 26533, 29683, 24739, 25618, 23832, 21167, 24768, 19606, 26548, 19302, 21394, 34888, 30458, 36191, 27342, 26725, 22910, 26095, 25287, 23936, 25211, 24521, 26530, 25920, 25468, 26353, 22993, 25108, 29109, 30027, 30126, 29379, 30378, 45134, 26590, 28066, 34366, 37365, 37616, 25217, 32041, 32637, 30167, 27624, 35450, 35860, 62889, 49750, 29420, 38695, 25514, 44274, 26498, 42750, 27390, 46035, 53174, 27250, 59733, 53530, 21154, 26650, 26783, 28492, 24917, 23969, 61446, 26016, 40945, 37678, 26430, 31932, 33452, 28334, 31088, 35600, 35557, 28044, 26289, 27402, 46120, 17840, 46531, 37766, 44520, 28550, 38420, 31341, 24758, 34274, 26963, 25059, 40398, 29878, 30475, 27607, 34904, 40980, 55698, 25335, 47810, 26639, 37946, 25582, 25428, 37371, 33294, 20219, 22294, 21716, 20784, 27620, 22438, 22316, 60106, 33352, 19822, 27162, 25382, 23752, 21740, 21942, 20502, 34923, 33049, 38102, 22644, 23703, 21938, 21961, 19178, 29010, 23438, 36145, 21468, 40480, 28036, 32253, 33888, 23532, 41784, 25414, 33742, 21412, 33942, 31398, 24986, 28599, 70505, 23274, 29605, 36840, 25730, 36809, 37669, 25797, 27062, 28810, 20773, 25375, 21663, 13750, 28917, 20072, 50654, 23139, 20502, 19415, 24082, 28933, 23218, 25500, 21330, 23315, 20150, 32894, 30516, 24280, 20668, 16681, 23580, 24198, 25057, 22910, 27493, 20009, 21172, 23722, 23193, 22422, 28994, 23054, 19420, 23002, 23420, 34239, 21727, 21787, 22510, 22138, 22874, 22577, 24257, 23662, 67114, 22030, 19560, 21850, 35050, 34598, 26020, 20646, 23850, 64729, 26690, 29794, 32354, 26899, 23267, 23722, 23286, 19542, 26110, 29420, 51970, 40456, 67706, 62425, 26038, 25936, 53130, 27246, 15322, 22951, 29910, 30174, 40763, 22103, 39048, 44725, 28671, 51542, 38390, 41014, 15332, 41782, 21516, 24412, 43508, 27333, 29306, 26186, 35074, 36168, 29992, 24750, 24007, 27818, 27000, 23616, 19043, 32587, 27110, 33836, 22280, 21050, 20106, 27150, 30312, 17540, 20386, 19490, 37046, 26796, 19704, 20124, 24170, 22880, 18992, 20761, 23606, 20072, 25778, 23582, 22429, 23985, 22182, 19134, 19312, 17852, 28314, 30832, 20535, 18426, 19471, 31346, 35184, 20900, 18976, 69264, 31310, 14950, 19876, 24735, 18391, 19448, 23466, 26694, 15733, 21670, 21645, 33675, 28685, 37730, 23028, 26972, 36520, 32073, 37095, 34990, 33902, 30434, 30286, 32379, 38983, 29980, 40114, 36376, 35819, 40930, 30936, 51114, 31422, 19767, 30184, 18961, 20136, 25012, 18947, 31026, 19420, 56906, 48933, 25534, 43690, 40946, 68824, 46245, 30817, 30941, 30939, 32620, 31634, 48335, 44701, 37356, 42388, 29496, 59676, 36255, 30715, 28744, 40830, 26860, 28895, 59485, 63016, 43084, 26990, 51712, 25554, 56604, 23765, 26857, 31212, 28033, 30350, 31355, 25730, 24643, 29289, 31702, 28932, 28554, 27723, 26797, 28398, 54196, 35509, 32277, 36395, 20087, 28235, 21453, 27649, 16429, 17072, 25510, 23779, 20220, 28670, 21797, 19989, 22927, 24731, 21375, 18933, 25720, 23702, 55214, 20624, 21959, 23824, 21104, 20921, 18868, 25630, 15853, 28283, 22643, 28748, 60008, 33736, 25949, 31500, 23350, 31258, 26592, 23073, 22430, 21460, 29212, 19014, 23325, 23724, 28235, 25514, 26300, 28743, 32736, 31436, 24244, 28882, 25650, 22627, 24101, 32040, 26712, 17706, 22485, 31378, 24596, 15074, 18966, 39782, 25506, 29102, 27250, 29776, 29521, 45186, 32555, 27690, 29952, 31912, 23603, 27417, 24510, 31382, 30277, 32264, 32430, 24090, 53369, 37572, 25955, 33486, 17984, 30172, 25992, 29947, 33090, 55050, 40315, 28068, 23415, 28876, 38770, 53480, 23298, 28138, 44550, 23970, 26684, 28938, 28597, 35946, 34510, 25840, 30571, 36948, 37214, 27420, 40332, 22435, 25070, 27933, 23430, 24002, 17840, 24140, 29017, 23636, 24056, 28472, 26712, 26076, 20355, 23207, 25572, 38370, 21092, 35276, 21230, 33306, 24113, 22140, 25676, 31516, 25543, 23182, 23976, 30336, 24810, 21750, 27421, 20046, 25550, 33800, 19291, 47950, 24208, 19523, 33128, 43100, 18028, 18894, 34473, 26102, 24616, 20364, 26813, 32915, 20856, 16655, 35133, 28310, 17070, 20519, 28578, 18355, 52852, 39864, 37204, 20839, 24550, 58660, 31066, 19941, 19958, 21137, 18947, 26146, 22947, 26342, 27988, 20627, 21682, 44438, 22325, 26082, 22226, 18529, 28706, 20785, 19440, 21936, 18737, 18192, 22373, 22841, 26908, 28186, 36369, 30514, 29015, 25491, 24575, 32018, 28111, 25226, 24521, 20802, 24828, 35264, 26319, 35584, 27442, 30347, 32454, 26562, 26815, 32461, 31162, 39339, 26900, 37287, 28611, 35277, 25428, 25557, 20330, 20860, 23416, 24564, 23125, 24970, 28644, 21815, 12930, 37358, 19946, 19999, 20062, 25925, 19856, 21836, 20233, 18052, 18052, 18052, 22462, 23564, 28180, 25907, 29829, 27359, 13990, 23233, 26517, 30982, 23762
#> $ coa_grad_nres                 <dbl> 31016, 35062, 25790, 37207, 45316, 48602, 24880, 34412, 24006, 35488, 27265, 36690, 32550, 39203, 49435, 33626, 35338, 35295, 25793, 29700, 24200, 26548, 19302, 23824, 34888, 30458, 36191, 36270, 35653, 31838, 35023, 34215, 32864, 34139, 33449, 35458, 34848, 34396, 35281, 31921, 34036, 44211, 45129, 45228, 44481, 45480, 45134, 26590, 28066, 34366, 37365, 37616, 34145, 32041, 32637, 30167, 27624, 35450, 35860, 62889, 49750, 29420, 38695, 34442, 44274, 35426, 42750, 36318, 46035, 53174, 36178, 59733, 53530, 27076, 42310, 36953, 46312, 24917, 37945, 61446, 26016, 40945, 37678, 39230, 52968, 33452, 28334, 31088, 35600, 35557, 28044, 39089, 40202, 46120, 17840, 46531, 37766, 44520, 28550, 38420, 31341, 44543, 34274, 41756, 36848, 40398, 42983, 30475, 45000, 34904, 40980, 55698, 36901, 47810, 26639, 37946, 25582, 36126, 37371, 33294, 20219, 22294, 37548, 30972, 27620, 30433, 28562, 60106, 47772, 29740, 40461, 45264, 39350, 21740, 33318, 32004, 34923, 54529, 38102, 37094, 37784, 36746, 21961, 19178, 29010, 23438, 36145, 31188, 40480, 35404, 41207, 33888, 31104, 41784, 25414, 33742, 21412, 33942, 31398, 24986, 37167, 70505, 29682, 29605, 36840, 25730, 36809, 37669, 25797, 27062, 44596, 25757, 29259, 21663, 13750, 28917, 20072, 50654, 31333, 27360, 28428, 24082, 28933, 23218, 25500, 34642, 40919, 20150, 32894, 30516, 24280, 33160, 22959, 23580, 36894, 25057, 35068, 27493, 30093, 21172, 23722, 31729, 29953, 28994, 23054, 19420, 23002, 28340, 51174, 34612, 32862, 35949, 33069, 34974, 35054, 34257, 37390, 67114, 39004, 19560, 33478, 35050, 40520, 31222, 22662, 23850, 64729, 26690, 33412, 45908, 33685, 23267, 28924, 23286, 19542, 26110, 29420, 51970, 40456, 67706, 62425, 26038, 25936, 53130, 27246, 15322, 34500, 46030, 46224, 40763, 23723, 39048, 44725, 40745, 51542, 38390, 41014, 15332, 41782, 27500, 24412, 43508, 40053, 29306, 26186, 35074, 58048, 46168, 33448, 28970, 36128, 38648, 23616, 19043, 49780, 41993, 33836, 22280, 21050, 20106, 34335, 39192, 17540, 24214, 19490, 37046, 26796, 19704, 23524, 24170, 22880, 18992, 31114, 37874, 20072, 25778, 36702, 31299, 23985, 22182, 25817, 19312, 17852, 28314, 30832, 20535, 22978, 19471, 31346, 35184, 26360, 23656, 69264, 31310, 14950, 34537, 24735, 21991, 27786, 36744, 26694, 19333, 35580, 35555, 33675, 28685, 37730, 24414, 26972, 36520, 32073, 37095, 34990, 33902, 30434, 38056, 37054, 38983, 35353, 49198, 36376, 35819, 52522, 30936, 51114, 37185, 19767, 37042, 24907, 23270, 39875, 29113, 31026, 25124, 56906, 48933, 25534, 43690, 40946, 68824, 46245, 39407, 39531, 39529, 32620, 31634, 48335, 44701, 37356, 42388, 29496, 59676, 36255, 30715, 28744, 40830, 26860, 28895, 59485, 63016, 43084, 26990, 51712, 25554, 56604, 23765, 26857, 31212, 28033, 30350, 31355, 37070, 35983, 40629, 43042, 40272, 39894, 39063, 38137, 39738, 54196, 35509, 32277, 36395, 33256, 28235, 34344, 27649, 27277, 17072, 25510, 23779, 32625, 45881, 34968, 33438, 35627, 39253, 33594, 29190, 25720, 23702, 55214, 20624, 32366, 23824, 21104, 32920, 28171, 31136, 15853, 28283, 28295, 28748, 60008, 45478, 32681, 31500, 23350, 31258, 34864, 23073, 22430, 21460, 45926, 19014, 23325, 23724, 48683, 33506, 26300, 39079, 32736, 31436, 24244, 38298, 25650, 27127, 24101, 32040, 35679, 22620, 37253, 31378, 38699, 21284, 25302, 39782, 28098, 29102, 27250, 39425, 39889, 45186, 40043, 27690, 33552, 31912, 23603, 33513, 24510, 38393, 30277, 32264, 40017, 24090, 53369, 37572, 25955, 33486, 17984, 30172, 25992, 36657, 33090, 55050, 40315, 35736, 23415, 28876, 53072, 53480, 23298, 28138, 44550, 23970, 26684, 35034, 35564, 41796, 34510, 25840, 36595, 36948, 37214, 27420, 40332, 22435, 25070, 40343, 23430, 24002, 17840, 24140, 48991, 33234, 24056, 43082, 37536, 39334, 20355, 30140, 39552, 38370, 21092, 35276, 21230, 33306, 38369, 22140, 25676, 31516, 34327, 37294, 40094, 48754, 30570, 33390, 41941, 20046, 25550, 33800, 26636, 47950, 24208, 27296, 33128, 43100, 25973, 26238, 34473, 34724, 31060, 27708, 35957, 32915, 28200, 24428, 35133, 28310, 18240, 27863, 28578, 26383, 52852, 39864, 37204, 28183, 24550, 58660, 31066, 27285, 28118, 28480, 26291, 36315, 31444, 36560, 39720, 28456, 29080, 44438, 37924, 33274, 29570, 25874, 28706, 21464, 19440, 37517, 32046, 28718, 38748, 31325, 26908, 28186, 36369, 53578, 45257, 25491, 24575, 50696, 28111, 42770, 24521, 20802, 33702, 35264, 43699, 35584, 40674, 42475, 43278, 26562, 41300, 32461, 31162, 39339, 26900, 37287, 42043, 47325, 35712, 25557, 28886, 35098, 23416, 24564, 23125, 24970, 28644, 21815, 12930, 37358, 19946, 29130, 29193, 38962, 28987, 30967, 28873, 18052, 18052, 18052, 41264, 23564, 28180, 34835, 29829, 36287, 13990, 45488, 35445, 30982, 36162

# create version of data frame df_mba that turns class=labelled variables to factor variables
  df_mba_fac <- as_factor(df_mba, only_labelled = TRUE) %>% glimpse()
#> Rows: 665
#> Columns: 36
#> $ opeid6                        <chr> "001002", "001052", "025034", "001055", "001051", "001009", "001003", "001004", "001016", "001036", "001047", "001063", "001061", "001081", "001083", "001082", "001101", "001108", "001090", "001089", "001092", "001097", "001100", "001107", "001117", "001125", "001133", "001143", "007993", "001157", "001142", "001144", "001146", "001141", "001147", "001137", "001138", "001139", "001140", "001153", "001150", "001313", "001314", "001315", "001316", "001317", "001164", "020705", "001196", "001253", "001205", "001183", "001149", "001216", "001215", "001243", "011460", "001179", "001252", "001329", "010149", "001262", "001322", "001151", "010395", "001154", "001325", "001155", "001326", "001302", "001156", "001328", "001343", "001345", "004508", "004509", "001370", "009401", "001350", "001371", "001363", "001374", "001416", "001378", "001417", "001385", "001422", "001397", "001402", "001403", "001409", "001406", "001380", "001431", "007948", "001434", "001443", "001444", "001460", "001466", "001505", "003954", "001479", "001480", "001481", "001469", "009635", "001488", "001535", "001495", "021519", "001536", "009841", "001509", "008849", "001515", "001526", "001537", "001468", "001531", "001521", "001538", "003955", "001544", "001556", "008976", "001561", "001564", "001569", "001573", "001602", "001572", "001598", "001588", "001599", "001601", "001605", "001610", "007279", "001616", "001620", "001626", "001624", "001634", "001641", "001666", "001671", "001674", "001676", "009145", "001776", "001767", "001692", "001700", "001707", "001710", "001722", "001733", "001734", "001735", "001737", "001739", "001693", "001741", "001746", "001748", "001749", "001750", "001664", "001768", "001758", "001759", "001780", "001785", "001787", "001788", "001800", "001804", "001808", "001807", "001811", "001822", "001832", "001842", "001891", "001869", "001892", "001880", "001889", "001893", "001903", "001927", "001915", "001918", "001948", "001939", "001928", "007032", "001926", "001943", "001940", "001949", "001950", "001954", "001959", "001962", "001975", "002002", "002010", "002008", "002017", "002015", "002005", "002020", "002024", "002025", "002031", "002029", "002053", "002051", "002054", "002052", "002102", "002062", "002072", "002076", "002077", "002078", "011644", "002103", "002083", "002086", "002091", "002114", "002117", "002118", "002122", "002124", "002128", "002130", "002133", "002183", "021829", "002139", "002143", "002184", "002161", "002221", "002222", "002199", "002188", "002208", "002211", "002210", "002218", "002226", "002233", "002190", "002238", "002243", "002249", "002323", "002259", "002262", "002266", "002279", "002325", "002290", "002326", "002327", "002307", "002314", "002316", "002318", "002329", "002330", "002334", "009058", "002347", "002354", "010374", "003969", "002371", "002377", "002380", "002345", "002342", "002375", "002394", "002396", "002397", "002403", "002410", "002440", "002424", "002415", "002423", "002441", "002447", "002449", "002454", "002461", "002463", "002464", "002480", "007540", "002496", "002498", "002499", "002506", "002501", "002503", "002520", "002521", "002525", "002536", "009743", "002539", "002554", "002565", "002540", "002566", "002569", "002568", "002575", "002579", "002580", "002591", "002586", "002598", "002599", "002607", "002610", "002608", "002609", "002613", "002622", "002616", "002617", "002621", "009344", "002628", "002629", "002638", "002639", "009345", "021922", "002625", "002651", "002653", "002663", "002657", "002650", "002664", "002666", "002668", "002681", "002699", "009769", "002707", "002711", "007273", "002687", "007022", "002712", "002713", "002722", "002732", "002737", "002744", "002748", "002751", "002758", "002765", "002772", "002775", "002778", "002703", "020662", "002785", "002782", "002790", "002791", "002805", "002806", "002810", "002817", "002705", "002825", "002821", "002823", "002835", "002836", "002837", "002838", "002842", "002846", "002848", "010286", "002853", "002882", "010142", "002883", "002899", "002906", "002913", "002923", "002927", "002928", "002929", "002941", "002948", "002905", "002974", "002975", "002976", "002950", "002972", "002984", "002954", "002955", "002957", "002978", "002985", "002981", "002992", "002994", "003005", "002997", "003123", "003012", "003014", "003018", "003023", "003024", "003125", "003032", "003127", "003045", "003050", "003051", "003066", "003069", "003072", "003077", "007085", "003033", "003035", "003090", "003100", "003121", "003131", "010923", "003134", "003135", "003078", "003144", "003145", "003151", "003149", "003152", "003161", "003170", "003166", "003184", "003179", "003181", "003185", "003193", "003194", "003208", "003210", "003223", "003212", "003216", "003224", "003219", "003986", "003233", "003315", "003241", "003316", "003303", "003244", "003318", "003252", "003256", "003258", "003259", "003266", "003267", "003270", "003275", "003277", "003287", "003288", "003289", "003290", "003296", "003988", "003329", "003378", "003357", "003360", "003366", "003384", "003362", "003326", "003327", "003371", "003388", "003391", "003328", "003313", "003394", "003399", "003402", "003404", "003406", "003414", "003411", "003418", "003419", "003422", "003428", "003425", "003441", "003448", "003451", "003456", "003469", "003474", "003478", "003479", "003481", "003482", "003485", "003486", "003487", "003496", "003500", "003502", "003509", "003510", "003529", "003530", "003531", "003522", "003523", "003527", "003528", "003537", "003541", "003545", "003557", "011161", "003560", "003651", "031703", "003565", "003576", "011711", "003612", "013231", "003652", "003578", "003581", "009651", "003584", "003588", "003592", "003594", "003598", "003630", "003604", "003621", "003654", "003606", "003623", "003613", "003616", "003624", "003615", "003631", "003639", "003632", "003656", "003658", "009741", "003661", "011163", "003636", "010115", "003642", "003644", "003646", "003663", "003665", "003670", "003678", "003677", "004027", "003675", "003680", "003681", "003684", "003692", "003696", "003705", "030913", "003708", "003749", "003714", "003721", "020530", "003720", "003746", "003724", "003728", "003737", "003754", "003735", "003745", "013022", "003775", "003778", "003783", "003785", "003794", "003790", "003800", "003798", "003802", "003804", "003812", "003827", "003832", "003837", "003838", "003842", "003848", "003854", "003861", "003863", "003911", "003917", "003920", "003896", "003921", "003923", "003932", "025875", "003941", "011719", "001825", "006942", "041618", "030113", "030375", "032603", "033394", "032553", "039803", "041425", "001579"
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#> $ instnm                        <chr> "Alabama A & M University", "University of Alabama at Birmingham", "Amridge University", "University of Alabama in Huntsville", "The University of Alabama", "Auburn University", "Faulkner University", "University of Montevallo", "University of North Alabama", "Samford University", "Troy University", "University of Alaska Fairbanks", "Alaska Pacific University", "Arizona State University-Tempe", "University of Arizona", "Northern Arizona University", "University of Arkansas at Little Rock", "University of Arkansas", "Arkansas State University-Main Campus", "Arkansas Tech University", "University of Central Arkansas", "Harding University", "John Brown University", "Southern Arkansas University Main Campus", "Azusa Pacific University", "California Baptist University", "California Lutheran University", "California Polytechnic State University-San Luis Obispo", "California State University-Bakersfield", "California State University-Stanislaus", "California State University-San Bernardino", "California State Polytechnic University-Pomona", "California State University-Chico", "California State University-Dominguez Hills", "California State University-Fresno", "California State University-Fullerton", "California State University-East Bay", "California State University-Long Beach", "California State University-Los Angeles", "California State University-Northridge", "California State University-Sacramento", "University of California-Davis", "University of California-Irvine", "University of California-Los Angeles", "University of California-Riverside", "University of California-San Diego", "Chapman University", "Concordia University-Irvine", "Dominican University of California", "Fresno Pacific University", "Golden Gate University-San Francisco", "Holy Names University", "Humboldt State University", "University of La Verne", "La Sierra University", "Mount Saint Mary's University", "National University", "Notre Dame de Namur University", "Hope International University", "University of the Pacific", "Pepperdine University", "Point Loma Nazarene University", "University of Redlands", "San Diego State University", "University of San Diego", "San Francisco State University", "University of San Francisco", "San Jose State University", "Santa Clara University", "Saint Mary's College of California", "Sonoma State University", "University of Southern California", "Woodbury University", "Adams State University", "University of Colorado Denver/Anschutz Medical Campus", "University of Colorado Colorado Springs", "University of Colorado Boulder", "Colorado Christian University", "Colorado State University-Fort Collins", "University of Denver", "Regis University", "Albertus Magnus College", "University of Bridgeport", "Central Connecticut State University", "University of Connecticut", "Fairfield University", "University of Hartford", "University of New Haven", "Quinnipiac University", "Sacred Heart University", "University of Saint Joseph", "Southern Connecticut State University", "Western Connecticut State University", "University of Delaware", "Wilmington University", "American University", "Gallaudet University", "George Washington University", "Trinity Washington University", "Barry University", "Lynn University", "University of Central Florida", "Embry-Riddle Aeronautical University-Daytona Beach", "Florida Agricultural and Mechanical University", "Florida Atlantic University", "Florida Institute of Technology", "Florida International University", "Florida Southern College", "University of Florida", "Jacksonville University", "Keiser University-Ft Lauderdale", "University of Miami", "University of North Florida", "Nova Southeastern University", "Palm Beach Atlantic University", "Rollins College", "Saint Leo University", "University of South Florida-Main Campus", "St. Thomas University", "Stetson University", "Southeastern University", "The University of Tampa", "The University of West Florida", "Albany State University", "Brenau University", "Clayton  State University", "Columbus State University", "Emory University", "Georgia Institute of Technology-Main Campus", "Georgia Southwestern State University", "Georgia College & State University", "Georgia Southern University", "University of Georgia", "Piedmont College", "Valdosta State University", "University of West Georgia", "Chaminade University of Honolulu", "University of Hawaii at Manoa", "Hawaii Pacific University", "Boise State University", "Idaho State University", "University of Idaho", "Northwest Nazarene University", "Aurora University", "Bradley University", "Concordia University-Chicago", "DePaul University", "Eastern Illinois University", "Elmhurst College", "Governors State University", "University of Illinois at Chicago", "Benedictine University", "Illinois State University", "Judson University", "Lewis University", "Loyola University Chicago", "McKendree University", "National Louis University", "North Central College", "North Park University", "Northern Illinois University", "Northwestern University", "Northeastern Illinois University", "Olivet Nazarene University", "Robert Morris University Illinois", "Rockford University", "Roosevelt University", "Dominican University", "University of St Francis", "Saint Xavier University", "Southern Illinois University-Carbondale", "Southern Illinois University-Edwardsville", "Western Illinois University", "Anderson University", "Bethel University", "Butler University", "Grace College and Theological Seminary", "University of Indianapolis", "University of Southern Indiana", "Indiana State University", "Indiana University-East", "Indiana Wesleyan University-Marion", "University of Saint Francis-Fort Wayne", "Valparaiso University", "University of Dubuque", "Iowa State University", "University of Iowa", "Mount Mercy University", "Saint Ambrose University", "Upper Iowa University", "Baker University", "Emporia State University", "Fort Hays State University", "Friends University", "University of Kansas", "Newman University", "Kansas State University", "MidAmerica Nazarene University", "Pittsburg State University", "University of Saint Mary", "Southwestern College", "Washburn University", "Wichita State University", "Bellarmine University", "Campbellsville University", "University of the Cumberlands", "Midway University", "Western Kentucky University", "Louisiana State University and Agricultural & Mechanical College", "Louisiana Tech University", "McNeese State University", "University of New Orleans", "Nicholls State University", "University of Louisiana at Monroe", "Southeastern Louisiana University", "Southern University and A & M College", "University of Louisiana at Lafayette", "Tulane University of Louisiana", "University of Maine", "Saint Joseph's College of Maine", "University of Southern Maine", "Thomas College", "University of Baltimore", "Bowie State University", "Frostburg State University", "Hood College", "Johns Hopkins University", "Loyola University Maryland", "University of Maryland Global Campus", "University of Maryland-College Park", "Morgan State University", "Mount St. Mary's University", "Salisbury University", "American International College", "Anna Maria College", "Assumption College", "Bay Path University", "Bentley University", "Boston College", "Boston University", "Brandeis University", "Bridgewater State University", "Cambridge College", "Clark University", "Curry College", "Fitchburg State University", "University of Massachusetts-Lowell", "University of Massachusetts-Amherst", "University of Massachusetts-Boston", "Northeastern University", "Salem State University", "Simmons University", "Springfield College", "University of Massachusetts-Dartmouth", "Suffolk University", "Western New England University", "Worcester Polytechnic Institute", "Worcester State University", "Andrews University", "Central Michigan University", "Davenport University", "University of Detroit Mercy", "Eastern Michigan University", "Kettering University", "Cornerstone University", "Lawrence Technological University", "University of Michigan-Ann Arbor", "Michigan State University", "University of Michigan-Dearborn", "University of Michigan-Flint", "Oakland University", "Saginaw Valley State University", "Siena Heights University", "Spring Arbor University", "Wayne State University", "Western Michigan University", "Augsburg University", "Bethel University", "Concordia University-Saint Paul", "Hamline University", "Metropolitan State University", "University of Minnesota-Twin Cities", "University of Northwestern-St Paul", "Saint Cloud State University", "Saint Mary's University of Minnesota", "University of St Thomas", "St Catherine University", "Southwest Minnesota State University", "Winona State University", "Alcorn State University", "Belhaven University", "Delta State University", "Jackson State University", "University of Mississippi", "Mississippi Valley State University", "Mississippi College", "Mississippi State University", "University of Southern Mississippi", "William Carey University", "Avila University", "University of Central Missouri", "Drury University", "Evangel University", "Fontbonne University", "Lindenwood University", "Missouri Baptist University", "Northwest Missouri State University", "Park University", "Rockhurst University", "Saint Louis University", "Southeast Missouri State University", "Missouri State University-Springfield", "Washington University in St Louis", "Webster University", "William Woods University", "The University of Montana", "Bellevue University", "Chadron State College", "University of Nebraska at Omaha", "University of Nebraska-Lincoln", "College of Saint Mary", "Wayne State College", "University of Nevada-Las Vegas", "University of Nevada-Reno", "Franklin Pierce University", "New England College", "Southern New Hampshire University", "Plymouth State University", "Rivier University", "Caldwell University", "Centenary University", "Fairlei...
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not-for-profit, Public, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Public, Public, Public, Public, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Public, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Public, Public, Private not-for-profit, Public, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Public, Private not-for-profit, Public, Public, Private not-for-profit, Public, Public, Public, Public, Public, Private not-for-profit, Public, Public, Private not-for-profit, Public, Private not-for-profit, Public, Public, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Public, Public, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Public, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Public, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Public, Private not-for-profit, Public, Private not-for-profit, Public, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Public, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Public, Public, Public, Public, Public, Public, Public, Public, Public, Private not-for-profit, Public, Private not-for-profit, Public, Private not-for-profit, Public, Public, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Public, Public, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Public, Public, Public, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Public, Public, Public, Public, Public, Private not-for-profit, Private not-for-profit, Public, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Public, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Public, Public, Private not-for-profit, Public, Public, Public, Public, Private not-for-profit, Public, Public, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Public, Public, Public, Private not-for-profit, Public, Public, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Public, Public, Private not-for-profit, Public, Public, Public, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Public, Public, Public, Public, Public, Public, Public, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Public, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Public, Public, Public, Public, Public, Public, Public, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Public, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Public, Public, Public, Public, Public, Public, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Public, Public, Public, Public, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Public, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Public, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Public, Public, Public, Private not-for-profit, Public, Public, Public, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Public, Public, Private not-for-profit, Public, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Public, Public, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Public, Private not-for-profit, Public, Public, Public, Private not-for-profit, Public, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Public, Public, Public, Public, Public, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Public, Public, Private not-for-profit, Public, Public, Public, Public, Private not-for-profit, Public, Public, Private not-for-profit, Private not-for-profit, Public, Public, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Public, Public, Public, Public, Public, Public, Public, Public, Public, Private not-for-profit, Public, Public, Public, Public, Private not-for-profit, Public, Priva...
#> $ ccbasic                       <fct> Master's Colleges & Universities: Larger Programs, Doctoral Universities: Very High Research Activity, Master's Colleges & Universities: Small Programs, Doctoral Universities: High Research Activity, Doctoral Universities: Very High Research Activity, Doctoral Universities: Very High Research Activity, Master's Colleges & Universities: Medium Programs, Master's Colleges & Universities: Medium Programs, Master's Colleges & Universities: Larger Programs, Doctoral/Professional Universities, Master's Colleges & Universities: Larger Programs, Doctoral Universities: High Research Activity, Master's Colleges & Universities: Small Programs, Doctoral Universities: Very High Research Activity, Doctoral Universities: Very High Research Activity, Doctoral Universities: High Research Activity, Doctoral Universities: High Research Activity, Doctoral Universities: Very High Research Activity, Doctoral Universities: High Research Activity, Master's Colleges & Universities: Larger Programs, Doctoral/Professional Universities, Doctoral/Professional Universities, Master's Colleges & Universities: Medium Programs, Master's Colleges & Universities: Larger Programs, Doctoral Universities: High Research Activity, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Doctoral/Professional Universities, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Doctoral Universities: Very High Research Activity, Doctoral Universities: Very High Research Activity, Doctoral Universities: Very High Research Activity, Doctoral Universities: Very High Research Activity, Doctoral Universities: Very High Research Activity, Doctoral Universities: High Research Activity, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Medium Programs, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Medium Programs, Master's Colleges & Universities: Medium Programs, Doctoral/Professional Universities, Master's Colleges & Universities: Medium Programs, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Medium Programs, Master's Colleges & Universities: Medium Programs, Doctoral/Professional Universities, Doctoral/Professional Universities, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Doctoral Universities: High Research Activity, Doctoral Universities: High Research Activity, Master's Colleges & Universities: Larger Programs, Doctoral/Professional Universities, Master's Colleges & Universities: Larger Programs, Doctoral/Professional Universities, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Doctoral Universities: Very High Research Activity, Master's Colleges & Universities: Medium Programs, Master's Colleges & Universities: Larger Programs, Doctoral Universities: Very High Research Activity, Doctoral Universities: High Research Activity, Doctoral Universities: Very High Research Activity, Master's Colleges & Universities: Medium Programs, Doctoral Universities: Very High Research Activity, Doctoral Universities: High Research Activity, Doctoral/Professional Universities, Master's Colleges & Universities: Medium Programs, Doctoral/Professional Universities, Master's Colleges & Universities: Larger Programs, Doctoral Universities: Very High Research Activity, Master's Colleges & Universities: Larger Programs, Doctoral/Professional Universities, Master's Colleges & Universities: Larger Programs, Doctoral/Professional Universities, Doctoral/Professional Universities, Doctoral/Professional Universities, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Medium Programs, Doctoral Universities: Very High Research Activity, Doctoral/Professional Universities, Doctoral Universities: High Research Activity, Doctoral Universities: High Research Activity, Doctoral Universities: Very High Research Activity, Master's Colleges & Universities: Medium Programs, Doctoral/Professional Universities, Master's Colleges & Universities: Larger Programs, Doctoral Universities: Very High Research Activity, Master's Colleges & Universities: Medium Programs, Doctoral Universities: High Research Activity, Doctoral Universities: High Research Activity, Doctoral Universities: High Research Activity, Doctoral Universities: Very High Research Activity, Master's Colleges & Universities: Medium Programs, Doctoral Universities: Very High Research Activity, Master's Colleges & Universities: Larger Programs, Doctoral/Professional Universities, Doctoral Universities: Very High Research Activity, Doctoral/Professional Universities, Doctoral Universities: High Research Activity, Doctoral/Professional Universities, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Doctoral Universities: Very High Research Activity, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Medium Programs, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Medium Programs, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Medium Programs, Master's Colleges & Universities: Larger Programs, Doctoral Universities: Very High Research Activity, Doctoral Universities: Very High Research Activity, Master's Colleges & Universities: Medium Programs, Master's Colleges & Universities: Larger Programs, Doctoral Universities: High Research Activity, Doctoral Universities: Very High Research Activity, Master's Colleges & Universities: Larger Programs, Doctoral/Professional Universities, Doctoral/Professional Universities, Master's Colleges & Universities: Larger Programs, Doctoral Universities: Very High Research Activity, Master's Colleges & Universities: Larger Programs, Doctoral Universities: High Research Activity, Doctoral Universities: High Research Activity, Doctoral Universities: High Research Activity, Master's Colleges & Universities: Larger Programs, Doctoral/Professional Universities, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Doctoral Universities: High Research Activity, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Doctoral Universities: Very High Research Activity, Doctoral/Professional Universities, Doctoral Universities: High Research Activity, Master's Colleges & Universities: Small Programs, Master's Colleges & Universities: Larger Programs, Doctoral Universities: High Research Activity, Master's Colleges & Universities: Larger Programs, Doctoral/Professional Universities, Master's Colleges & Universities: Medium Programs, Master's Colleges & Universities: Larger Programs, Doctoral Universities: High Research Activity, Doctoral Universities: Very High Research Activity, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Medium Programs, Master's Colleges & Universities: Small Programs, Doctoral/Professional Universities, Master's Colleges & Universities: Larger Programs, Doctoral/Professional Universities, Master's Colleges & Universities: Larger Programs, Doctoral Universities: High Research Activity, Doctoral/Professional Universities, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Medium Programs, Master's Colleges & Universities: Small Programs, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Medium Programs, Doctoral/Professional Universities, Master's Colleges & Universities: Larger Programs, Doctoral/Professional Universities, Master's Colleges & Universities: Small Programs, Master's Colleges & Universities: Small Programs, Master's Colleges & Universities: Larger Programs, Doctoral/Professional Universities, Master's Colleges & Universities: Medium Programs, Doctoral Universities: Very High Research Activity, Doctoral Universities: Very High Research Activity, Master's Colleges & Universities: Medium Programs, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Doctoral/Professional Universities, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Doctoral Universities: Very High Research Activity, Master's Colleges & Universities: Larger Programs, Doctoral Universities: Very High Research Activity, Master's Colleges & Universities: Medium Programs, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Medium Programs, Master's Colleges & Universities: Medium Programs, Doctoral/Professional Universities, Doctoral Universities: High Research Activity, Doctoral/Professional Universities, Master's Colleges & Universities: Larger Programs, Doctoral/Professional Universities, Master's Colleges & Universities: Small Programs, Doctoral...
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#> $ region                        <fct> "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Southwest (AZ, NM, OK, TX)", "Southwest (AZ, NM, OK, TX)", "Southwest (AZ, NM, OK, TX)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, 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OH, WI)", "Great Lakes (IL, IN, MI, OH, WI)", "Great Lakes (IL, IN, MI, OH, WI)", "Great Lakes (IL, IN, MI, OH, WI)", "Great Lakes (IL, IN, MI, OH, WI)", "Great Lakes (IL, IN, MI, OH, WI)", "Great Lakes (IL, IN, MI, OH, WI)", "Great Lakes (IL, IN, MI, OH, WI)", "Plains (IA, KS, MN, MO, NE, ND, SD)", "Plains (IA, KS, MN, MO, NE, ND, SD)", "Plains (IA, KS, MN, MO, NE, ND, SD)", "Plains (IA, KS, MN, MO, NE, ND, SD)", "Plains (IA, KS, MN, MO, NE, ND, SD)", "Plains (IA, KS, MN, MO, NE, ND, SD)", "Plains (IA, KS, MN, MO, NE, ND, SD)", "Plains (IA, KS, MN, MO, NE, ND, SD)", "Plains (IA, KS, MN, MO, NE, ND, SD)", "Plains (IA, KS, MN, MO, NE, ND, SD)", "Plains (IA, KS, MN, MO, NE, ND, SD)", "Plains (IA, KS, MN, MO, NE, ND, SD)", "Plains (IA, KS, MN, MO, NE, ND, SD)", "Plains (IA, KS, MN, MO, NE, ND, SD)", "Plains (IA, KS, MN, MO, NE, ND, SD)", "Plains (IA, KS, MN, MO, NE, ND, SD)", "Plains (IA, KS, MN, MO, NE, ND, SD)", "Plains (IA, KS, MN, MO, NE, ND, SD)", "Plains (IA, KS, MN, MO, NE, ND, 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MA, NH...
#> $ city                          <chr> "Normal", "Birmingham", "Montgomery", "Huntsville", "Tuscaloosa", "Auburn", "Montgomery", "Montevallo", "Florence", "Birmingham", "Troy", "Fairbanks", "Anchorage", "Tempe", "Tucson", "Flagstaff", "Little Rock", "Fayetteville", "Jonesboro", "Russellville", "Conway", "Searcy", "Siloam Springs", "Magnolia", "Azusa", "Riverside", "Thousand Oaks", "San Luis Obispo", "Bakersfield", "Turlock", "San Bernardino", "Pomona", "Chico", "Carson", "Fresno", "Fullerton", "Hayward", "Long Beach", "Los Angeles", "Northridge", "Sacramento", "Davis", "Irvine", "Los Angeles", "Riverside", "La Jolla", "Orange", "Irvine", "San Rafael", "Fresno", "San Francisco", "Oakland", "Arcata", "La Verne", "Riverside", "Los Angeles", "La Jolla", "Belmont", "Fullerton", "Stockton", "Malibu", "San Diego", "Redlands", "San Diego", "San Diego", "San Francisco", "San Francisco", "San Jose", "Santa Clara", "Moraga", "Rohnert Park", "Los Angeles", "Burbank", "Alamosa", "Denver", "Colorado Springs", "Boulder", "Lakewood", "Fort Collins", "Denver", "Denver", "New Haven", "Bridgeport", "New Britain", "Storrs", "Fairfield", "West Hartford", "West Haven", "Hamden", "Fairfield", "West Hartford", "New Haven", "Danbury", "Newark", "New Castle", "Washington", "Washington", "Washington", "Washington", "Miami", "Boca Raton", "Orlando", "Daytona Beach", "Tallahassee", "Boca Raton", "Melbourne", "Miami", "Lakeland", "Gainesville", "Jacksonville", "Fort Lauderdale", "Coral Gables", "Jacksonville", "Fort Lauderdale", "West Palm Beach", "Winter Park", "Saint Leo", "Tampa", "Miami Gardens", "DeLand", "Lakeland", "Tampa", "Pensacola", "Albany", "Gainesville", "Morrow", "Columbus", "Atlanta", "Atlanta", "Americus", "Milledgeville", "Statesboro", "Athens", "Demorest", "Valdosta", "Carrollton", "Honolulu", "Honolulu", "Honolulu", "Boise", "Pocatello", "Moscow", "Nampa", "Aurora", "Peoria", "River Forest", "Chicago", "Charleston", "Elmhurst", "University Park", "Chicago", "Lisle", "Normal", "Elgin", "Romeoville", "Chicago", "Lebanon", "Chicago", "Naperville", "Chicago", "Dekalb", "Evanston", "Chicago", "Bourbonnais", "Chicago", "Rockford", "Chicago", "River Forest", "Joliet", "Chicago", "Carbondale", "Edwardsville", "Macomb", "Anderson", "Mishawaka", "Indianapolis", "Winona Lake", "Indianapolis", "Evansville", "Terre Haute", "Richmond", "Marion", "Fort Wayne", "Valparaiso", "Dubuque", "Ames", "Iowa City", "Cedar Rapids", "Davenport", "Fayette", "Baldwin City", "Emporia", "Hays", "Wichita", "Lawrence", "Wichita", "Manhattan", "Olathe", "Pittsburg", "Leavenworth", "Winfield", "Topeka", "Wichita", "Louisville", "Campbellsville", "Williamsburg", "Midway", "Bowling Green", "Baton Rouge", "Ruston", "Lake Charles", "New Orleans", "Thibodaux", "Monroe", "Hammond", "Baton Rouge", "Lafayette", "New Orleans", "Orono", "Standish", "Portland", "Waterville", "Baltimore", "Bowie", "Frostburg", "Frederick", "Baltimore", "Baltimore", "Adelphi", "College Park", "Baltimore", "Emmitsburg", "Salisbury", "Springfield", "Paxton", "Worcester", "Longmeadow", "Waltham", "Chestnut Hill", "Boston", "Waltham", "Bridgewater", "Boston", "Worcester", "Milton", "Fitchburg", "Lowell", "Amherst", "Boston", "Boston", "Salem", "Boston", "Springfield", "North Dartmouth", "Boston", "Springfield", "Worcester", "Worcester", "Berrien Springs", "Mount Pleasant", "Grand Rapids", "Detroit", "Ypsilanti", "Flint", "Grand Rapids", "Southfield", "Ann Arbor", "East Lansing", "Dearborn", "Flint", "Rochester Hills", "University Center", "Adrian", "Spring Arbor", "Detroit", "Kalamazoo", "Minneapolis", "Saint Paul", "Saint Paul", "Saint Paul", "Saint Paul", "Minneapolis", "Saint Paul", "Saint Cloud", "Winona", "Saint Paul", "Saint Paul", "Marshall", "Winona", "Alcorn State", "Jackson", "Cleveland", "Jackson", "University", "Itta Bena", "Clinton", "Mississippi State", "Hattiesburg", "Hattiesburg", "Kansas City", "Warrensburg", "Springfield", "Springfield", "Saint Louis", "Saint Charles", "Saint Louis", "Maryville", "Parkville", "Kansas City", "Saint Louis", "Cape Girardeau", "Springfield", "Saint Louis", "Saint Louis", "Fulton", "Missoula", "Bellevue", "Chadron", "Omaha", "Lincoln", "Omaha", "Wayne", "Las Vegas", "Reno", "Rindge", "Henniker", "Manchester", "Plymouth", "Nashua", "Caldwell", "Hackettstown", "Teaneck", "Lodi", "Lakewood", "Glassboro", "Jersey City", "Union", "West Long Branch", "Montclair", "Newark", "Mahwah", "Lawrenceville", "New Brunswick", "Jersey City", "Hoboken", "Galloway", "Trenton", "Wayne", "Portales", "Las Vegas", "Albuquerque", "Las Cruces", "Hobbs", "Silver City", "Garden City", "Alfred", "Buffalo", "Potsdam", "New York", "New York", "Ithaca", "New York", "Brooklyn", "Bronx", "Buffalo", "Orangeburg", "Bronx", "Hempstead", "New Rochelle", "Keuka Park", "Syracuse", "Brookville", "Riverdale", "Poughkeepsie", "Dobbs Ferry", "Rockville Centre", "Newburgh", "Bronx", "New York", "New York", "Old Westbury", "New York", "New York", "Rochester", "Rochester", "Troy", "Saint Bonaventure", "Albany", "Brooklyn", "Rochester", "Queens", "Albany", "Vestal", "Buffalo", "Stony Brook", "Buffalo", "New Paltz", "Oswego", "Saratoga Springs", "Throggs Neck", "Syracuse", "New York", "Utica", "Staten Island", "Boone", "Buies Creek", "Greenville", "Elon", "Fayetteville", "Boiling Springs", "Hickory", "Montreat", "Greensboro", "Chapel Hill", "Charlotte", "Greensboro", "Durham", "Raleigh", "Wilmington", "Pembroke", "Misenheimer", "Charlotte", "Winston-Salem", "Wingate", "Cullowhee", "Bismarck", "Minot", "Grand Forks", "Fargo", "Akron", "Ashland", "Berea", "Bowling Green", "Columbus", "Cleveland", "Cincinnati", "Cleveland", "Dayton", "Findlay", "University Heights", "Kent", "Painesville", "Sylvania", "Canton", "Oxford", "Mount Vernon", "Cincinnati", "Columbus", "Columbus", "Athens", "Tiffin", "Toledo", "Cincinnati", "Pepper Pike", "North Canton", "Dayton", "Cincinnati", "Youngstown", "Bartlesville", "Bethany", "Edmond", "Tahlequah", "Stillwater", "Oklahoma City", "Norman", "Durant", "Weatherford", "Tulsa", "La Grande", "Newberg", "Eugene", "Corvallis", "Eugene", "Forest Grove", "Portland", "Portland", "Ashland", "Center Valley", "Reading", "Bloomsburg", "Radnor", "California", "Pittsburgh", "Pittsburgh", "Clarion", "Doylestown", "Philadelphia", "Pittsburgh", "Saint Davids", "Erie", "Beaver Falls", "Gwynedd Valley", "Philadelphia", "Indiana", "Philadelphia", "Annville", "Bethlehem", "Lincoln University", "Scranton", "Aston", "University Park", "Philadelphia", "Pittsburgh", "Rosemont", "Loretto", "Scranton", "Greensburg", "Shippensburg", "Slippery Rock", "Philadelphia", "Villanova", "Waynesburg", "West Chester", "Chester", "Wilkes-Barre", "York", "Smithfield", "Providence", "Providence", "Kingston", "Newport", "Anderson", "Charleston", "Central", "Charleston", "Clemson", "Tigerville", "Columbia", "Conway", "Rock Hill", "Sioux Falls", "Vermillion", "Clarksville", "Nashville", "Jefferson City", "Memphis", "Lebanon", "Nashville", "Johnson City", "Bristol", "Cleveland", "Harrogate", "Memphis", "Murfreesboro", "Chattanooga", "Knoxville", "Martin", "Nashville", "Cookeville", "Greeneville", "Jackson", "Abilene", "San Angelo", "Waco", "Austin", "Corpus Christi", "Dallas", "Irving", "Texarkana", "Commerce", "Houston", "Houston", "Houston", "Victoria", "Houston", "San Antonio", "Beaumont", "Laredo", "Longview", "Belton", "Wichita Falls", "Denton", "San Antonio", "Prairie View", "Houston", "Austin", "Houston", "Huntsville", "San Antonio", "Dallas", "Waxahachie", "Nacogdoches", "San Marcos", "Stephenville", "Kingsville", "College Station", "Arlington", "Austin", "Richardson", "El Paso", "Tyler", "Fort Worth", "San Antonio", "Houston", "Lubbock", "Denton", "Plainview", "Canyon", "Provo", "Cedar City", "Logan", "Orem", "Salt Lake City", "Ogden", "Salt Lake City", "Burlington", "Northfield", "Burlington", "Williamsburg", "Virginia Beach", "Harrisonburg", "Fairfax", "Hampton", "Harrisonburg", "Lynchburg", "Lynchburg", "Fredericksburg", "Arlington", "Norfolk", "Winchester", "Blacksburg", "Richmond", "Charlottesville", "Seattle", "Cheney", "Spokane", "Kirkland", "Tacoma", "Lacey", "Seattle", "Pullman", "Seattle", "Bellingham", "Spokane", "Fairmont", "Morgantown", "Milwaukee", "Milwaukee", "Waukesha", "Mequon", "Madison", "Plymouth", "Fond Du Lac", "Milwaukee", "La Crosse", "Eau Claire", "Oshkosh", "Milwaukee", "Platteville", "River Falls", "Laramie", "San Juan", "Carolina", "Gurabo", "West Lafayette", "Oklahoma City", "Irvine", "San Marcos", "Naples", "Seaside", "Salt Lake City", "Fort Myers", "Camarillo", "Los Alamitos", "Augusta"
#> $ locale                        <fct> "City: Midsize (population of at least 100,000 but less than 250,000)", "City: Midsize (population of at least 100,000 but less than 250,000)", "City: Midsize (population of at least 100,000 but less than 250,000)", "City: Midsize (population of at least 100,000 but less than 250,000)", "City: Midsize (population of at least 100,000 but less than 250,000)", "City: Small (population less than 100,000)", "City: Midsize (population of at least 100,000 but less than 250,000)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "City: Small (population less than 100,000)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "Town: Remote (in urban cluster more than 35 miles from an urbanized area)", "Suburb: Small (outside principal city, in urbanized area with population less than 100,000)", "City: Large (population of 250,000 or more)", "City: Midsize (population of at least 100,000 but less than 250,000)", "City: Large (population of 250,000 or more)", "City: Small (population less than 100,000)", "City: Midsize (population of at least 100,000 but less than 250,000)", "City: Small (population less than 100,000)", "City: Small (population less than 100,000)", "Town: Remote (in urban cluster more than 35 miles from an urbanized area)", "City: Small (population less than 100,000)", "Town: Distant (in urban cluster more than 10 miles and up to 35 miles from an urbanized area)", "Town: Distant (in urban cluster more than 10 miles and up to 35 miles from an urbanized area)", "Town: Remote (in urban cluster more than 35 miles from an urbanized area)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "City: Large (population of 250,000 or more)", "City: Midsize (population of at least 100,000 but less than 250,000)", "Suburb: Small (outside principal city, in urbanized area with population less than 100,000)", "City: Large (population of 250,000 or more)", "Suburb: Small (outside principal city, in urbanized area with population less than 100,000)", "City: Midsize (population of at least 100,000 but less than 250,000)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "City: Small (population less than 100,000)", "City: Small (population less than 100,000)", "City: Large (population of 250,000 or more)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "City: Large (population of 250,000 or more)", "City: Large (population of 250,000 or more)", "City: Large (population of 250,000 or more)", "City: Large (population of 250,000 or more)", "Suburb: Small (outside principal city, in urbanized area with population less than 100,000)", "City: Large (population of 250,000 or more)", "City: Large (population of 250,000 or more)", "City: Large (population of 250,000 or more)", "City: Large (population of 250,000 or more)", "City: Midsize (population of at least 100,000 but less than 250,000)", "City: Large (population of 250,000 or more)", "City: Small (population less than 100,000)", "City: Large (population of 250,000 or more)", "City: Large (population of 250,000 or more)", "City: Large (population of 250,000 or more)", "Town: Remote (in urban cluster more than 35 miles from an urbanized area)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "City: Large (population of 250,000 or more)", "City: Large (population of 250,000 or more)", "City: Large (population of 250,000 or more)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "City: Large (population of 250,000 or more)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "City: Large (population of 250,000 or more)", "City: Small (population less than 100,000)", "City: Large (population of 250,000 or more)", "City: Large (population of 250,000 or more)", "City: Large (population of 250,000 or more)", "City: Large (population of 250,000 or more)", "City: Large (population of 250,000 or more)", "City: Midsize (population of at least 100,000 but less than 250,000)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "City: Large (population of 250,000 or more)", "City: Large (population of 250,000 or more)", "Town: Remote (in urban cluster more than 35 miles from an urbanized area)", "City: Large (population of 250,000 or more)", "City: Large (population of 250,000 or more)", "City: Midsize (population of at least 100,000 but less than 250,000)", "City: Midsize (population of at least 100,000 but less than 250,000)", "City: Midsize (population of at least 100,000 but less than 250,000)", "City: Large (population of 250,000 or more)", "City: Large (population of 250,000 or more)", "City: Midsize (population of at least 100,000 but less than 250,000)", "City: Midsize (population of at least 100,000 but less than 250,000)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "City: Midsize (population of at least 100,000 but less than 250,000)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "City: Midsize (population of at least 100,000 but less than 250,000)", "City: Small (population less than 100,000)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "City: Large (population of 250,000 or more)", "City: Large (population of 250,000 or more)", "City: Large (population of 250,000 or more)", "City: Large (population of 250,000 or more)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "City: Small (population less than 100,000)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "City: Small (population less than 100,000)", "City: Midsize (population of at least 100,000 but less than 250,000)", "City: Small (population less than 100,000)", "City: Small (population less than 100,000)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "City: Midsize (population of at least 100,000 but less than 250,000)", "City: Midsize (population of at least 100,000 but less than 250,000)", "City: Large (population of 250,000 or more)", "City: Midsize (population of at least 100,000 but less than 250,000)", "City: Small (population less than 100,000)", "City: Large (population of 250,000 or more)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "City: Midsize (population of at least 100,000 but less than 250,000)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "Suburb: Small (outside principal city, in urbanized area with population less than 100,000)", "City: Large (population of 250,000 or more)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "City: Small (population less than 100,000)", "City: Midsize (population of at least 100,000 but less than 250,000)", "City: Large (population of 250,000 or more)", "City: Small (population less than 100,000)", "City: Small (population less than 100,000)", "City: Small (population less than 100,000)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "City: Midsize (population of at least 100,000 but less than 250,000)", "City: Large (population of 250,000 or more)", "City: Large (population of 250,000 or more)", "Town: Distant (in urban cluster more than 10 miles and up to 35 miles from an urbanized area)", "Town: Distant (in urban cluster more than 10 miles and up to 35 miles from an urbanized area)", "Town: Distant (in urban cluster more than 10 miles and up to 35 miles from an urbanized area)", "City: Midsize (population of at least 100,000 but less than 250,000)", "Town: Distant (in urban cluster more than 10 miles and up to 35 miles from an urbanized area)", "City: Small (population less than 100,000)", "Town: Fringe (in urban cluster up to 10 miles from an urbanized area)", "City: Large (population of 250,000 or more)", "City: Large (population of 250,000 or more)", "City: Large (population of 250,000 or more)", "City: Midsize (population of at least 100,000 but less than 250,000)", "City: Small (population less than 100,000)", "Town: Distant (in urban cluster more than 10 miles and up to 35 miles from an urbanized area)", "Suburb: Midsize (outside principal city, in urbanized area with population of at least 100,000 but less than 250,000)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "City: Midsize (population of at least 100,000 but less than 250,000)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "City: Large (population of 250,000 or more)", "Town: Distant (in urban cluster mo...
#> $ urban                         <fct> med/small city, med/small city, med/small city, med/small city, med/small city, med/small city, med/small city, suburb, med/small city, suburb, town/rural, suburb, large city (250k+), med/small city, large city (250k+), med/small city, med/small city, med/small city, med/small city, town/rural, med/small city, town/rural, town/rural, town/rural, suburb, large city (250k+), med/small city, suburb, large city (250k+), suburb, med/small city, suburb, med/small city, med/small city, large city (250k+), suburb, suburb, large city (250k+), large city (250k+), large city (250k+), large city (250k+), suburb, large city (250k+), large city (250k+), large city (250k+), large city (250k+), med/small city, large city (250k+), med/small city, large city (250k+), large city (250k+), large city (250k+), town/rural, suburb, large city (250k+), large city (250k+), large city (250k+), suburb, suburb, large city (250k+), suburb, large city (250k+), med/small city, large city (250k+), large city (250k+), large city (250k+), large city (250k+), large city (250k+), med/small city, suburb, suburb, large city (250k+), large city (250k+), town/rural, large city (250k+), large city (250k+), med/small city, med/small city, med/small city, large city (250k+), large city (250k+), med/small city, med/small city, suburb, suburb, suburb, med/small city, suburb, suburb, suburb, suburb, med/small city, med/small city, suburb, suburb, large city (250k+), large city (250k+), large city (250k+), large city (250k+), suburb, med/small city, suburb, med/small city, med/small city, med/small city, med/small city, suburb, med/small city, med/small city, large city (250k+), med/small city, med/small city, large city (250k+), suburb, med/small city, suburb, suburb, large city (250k+), suburb, med/small city, med/small city, large city (250k+), med/small city, med/small city, med/small city, suburb, med/small city, large city (250k+), large city (250k+), town/rural, town/rural, town/rural, med/small city, town/rural, med/small city, town/rural, large city (250k+), large city (250k+), large city (250k+), med/small city, med/small city, town/rural, suburb, suburb, med/small city, suburb, large city (250k+), town/rural, suburb, town/rural, large city (250k+), suburb, suburb, med/small city, suburb, large city (250k+), suburb, large city (250k+), med/small city, large city (250k+), suburb, med/small city, large city (250k+), suburb, large city (250k+), med/small city, large city (250k+), suburb, suburb, large city (250k+), med/small city, suburb, town/rural, med/small city, med/small city, large city (250k+), town/rural, large city (250k+), suburb, med/small city, town/rural, town/rural, large city (250k+), suburb, med/small city, med/small city, med/small city, med/small city, med/small city, town/rural, town/rural, town/rural, town/rural, large city (250k+), med/small city, large city (250k+), med/small city, suburb, town/rural, town/rural, town/rural, med/small city, large city (250k+), large city (250k+), town/rural, town/rural, town/rural, med/small city, med/small city, town/rural, med/small city, large city (250k+), med/small city, med/small city, med/small city, med/small city, med/small city, large city (250k+), suburb, town/rural, med/small city, town/rural, large city (250k+), suburb, suburb, med/small city, large city (250k+), large city (250k+), suburb, suburb, large city (250k+), town/rural, suburb, med/small city, town/rural, med/small city, suburb, med/small city, med/small city, large city (250k+), med/small city, suburb, large city (250k+), med/small city, suburb, suburb, suburb, suburb, large city (250k+), large city (250k+), suburb, large city (250k+), med/small city, suburb, large city (250k+), med/small city, med/small city, med/small city, town/rural, town/rural, suburb, large city (250k+), suburb, med/small city, med/small city, med/small city, med/small city, med/small city, med/small city, med/small city, suburb, suburb, town/rural, suburb, large city (250k+), med/small city, large city (250k+), suburb, large city (250k+), large city (250k+), large city (250k+), large city (250k+), suburb, med/small city, town/rural, large city (250k+), large city (250k+), town/rural, town/rural, town/rural, med/small city, town/rural, med/small city, town/rural, town/rural, suburb, town/rural, med/small city, med/small city, large city (250k+), town/rural, med/small city, med/small city, suburb, med/small city, suburb, town/rural, suburb, large city (250k+), large city (250k+), med/small city, med/small city, suburb, suburb, town/rural, med/small city, suburb, town/rural, large city (250k+), large city (250k+), large city (250k+), town/rural, med/small city, large city (250k+), town/rural, town/rural, suburb, town/rural, med/small city, suburb, suburb, suburb, suburb, med/small city, suburb, large city (250k+), suburb, suburb, suburb, large city (250k+), suburb, suburb, med/small city, large city (250k+), suburb, suburb, med/small city, suburb, town/rural, town/rural, large city (250k+), suburb, town/rural, town/rural, suburb, town/rural, large city (250k+), town/rural, large city (250k+), large city (250k+), med/small city, large city (250k+), large city (250k+), large city (250k+), large city (250k+), suburb, large city (250k+), suburb, suburb, town/rural, suburb, suburb, large city (250k+), suburb, suburb, suburb, med/small city, large city (250k+), large city (250k+), large city (250k+), suburb, large city (250k+), large city (250k+), suburb, suburb, med/small city, town/rural, med/small city, large city (250k+), suburb, large city (250k+), med/small city, suburb, suburb, suburb, large city (250k+), suburb, town/rural, suburb, large city (250k+), med/small city, large city (250k+), med/small city, large city (250k+), town/rural, town/rural, med/small city, suburb, med/small city, town/rural, med/small city, suburb, large city (250k+), med/small city, large city (250k+), large city (250k+), large city (250k+), large city (250k+), med/small city, town/rural, town/rural, large city (250k+), med/small city, suburb, town/rural, town/rural, town/rural, med/small city, med/small city, med/small city, town/rural, suburb, town/rural, suburb, large city (250k+), large city (250k+), large city (250k+), med/small city, town/rural, suburb, suburb, suburb, suburb, med/small city, town/rural, town/rural, suburb, large city (250k+), large city (250k+), town/rural, town/rural, large city (250k+), large city (250k+), suburb, suburb, suburb, large city (250k+), med/small city, town/rural, suburb, suburb, town/rural, town/rural, large city (250k+), suburb, town/rural, town/rural, large city (250k+), town/rural, town/rural, med/small city, med/small city, med/small city, suburb, large city (250k+), large city (250k+), suburb, town/rural, med/small city, med/small city, suburb, suburb, large city (250k+), large city (250k+), town/rural, suburb, large city (250k+), large city (250k+), suburb, med/small city, suburb, suburb, large city (250k+), town/rural, large city (250k+), suburb, med/small city, suburb, med/small city, suburb, med/small city, large city (250k+), large city (250k+), suburb, town/rural, med/small city, suburb, town/rural, town/rural, large city (250k+), suburb, town/rural, suburb, suburb, med/small city, suburb, suburb, med/small city, med/small city, suburb, suburb, med/small city, med/small city, suburb, med/small city, suburb, town/rural, med/small city, med/small city, med/small city, med/small city, town/rural, med/small city, large city (250k+), suburb, large city (250k+), town/rural, large city (250k+), med/small city, med/small city, med/small city, town/rural, large city (250k+), med/small city, med/small city, med/small city, town/rural, large city (250k+), town/rural, town/rural, med/small city, med/small city, med/small city, med/small city, large city (250k+), large city (250k+), large city (250k+), med/small city, town/rural, town/rural, large city (250k+), suburb, large city (250k+), med/small city, large city (250k+), large city (250k+), med/small city, large city (250k+), med/small city, suburb, med/small city, med/small city, large city (250k+), town/rural, large city (250k+), large city (250k+), large city (250k+), town/rural, large city (250k+), suburb, suburb, town/rural, med/small city, town/rural, town/rural, med/small city, large city (250k+), large city (250k+), med/small city, large city (250k+), med/small city, large city (250k+), large city (250k+), large city (250k+), large city (250k+), med/small city, town/rural, town/rural, med/small city, town/rural, med/small city, med/small city, med/small city, med/small city, med/small city, med/small city, town/rural, med/small city, suburb, large city (250k+), med/small city, suburb, med/small city, med/small city, med/small city, med/small city, suburb, med/small city, med/small city, med/small city, med/small city, med/small city, suburb, large city (250k+), town/rural, med/small city, suburb, suburb, med/small city, large city (250k+), town/rural, large city (250k+), med/small city, suburb, town/rural, med/small city, large city (250k+), suburb, med/small city, suburb, large city (250k+), town/rural, med/small city, large city (250k+), med/small city, med/small city, med/small city, large city (250k+), town/rural, town/rural, town/rural, large city (250k+), suburb, suburb, med/small city, large city (250k+), large city (250k+), suburb, suburb, suburb, suburb, suburb, suburb, suburb, med/small city
#> $ cipdig2                       <chr> "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52"
#> $ cipcode                       <chr> "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", 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#> $ cipdesc                       <chr> "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administrat...
#> $ credlev                       <fct> Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Deg...
#> $ creddesc                      <chr> "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "...
#> $ ipedscount1                   <dbl> 30, 115, 23, 95, 152, 210, 31, 23, 116, 44, 134, 42, 13, 444, 212, 118, 62, 123, 58, 15, 45, 66, 127, 22, 22, 168, 83, 24, 47, 55, 139, 17, 30, 55, 78, 168, 158, 103, 36, 43, 164, 155, 251, 862, 73, 126, 101, 73, 36, 12, 106, 11, 22, 370, 36, 37, 336, 37, 9, 44, 589, 79, 520, 211, 127, 73, 103, 114, 151, 162, 64, 640, 66, 29, 273, 91, 139, 67, 312, 44, 345, 96, 109, 29, 253, 21, 120, 148, 266, 65, 7, 67, NA, 159, 79, 56, 20, 372, 28, 85, 245, 81, 43, 49, 243, 374, 597, 34, 724, 25, 130, 232, 113, 706, 65, 134, 764, 127, 119, 65, 48, 164, 86, 24, 105, 77, 25, 399, 308, 15, 21, 103, 245, 37, 32, 100, 33, 142, 80, 120, 56, 14, 33, 87, 24, 91, 158, 48, 63, 17, 213, 434, 43, 65, 213, 215, 90, 77, 35, 110, 215, 468, 20, 79, 170, 49, 143, 69, 48, 43, 56, 65, 42, 102, 24, 63, 32, 74, 36, 48, 9, NA, 101, 40, 143, 64, 271, 44, 104, 105, 192, 45, 53, 97, 119, 45, 39, 43, 30, 87, 45, 44, 80, 51, 8, 66, 32, 128, 131, 51, 28, 76, 42, 24, 60, 44, 78, 68, 25, 19, 26, 49, 146, 0, 75, 42, 117, 122, 1934, 493, 76, 73, 40, 32, 31, 90, 86, 72, 239, 568, 140, 14, 94, 102, 32, 40, 219, 382, 124, NA, 36, 60, 22, 162, 111, 50, 74, 17, 23, 430, 338, 52, 40, 70, 44, 51, 787, 264, 65, 59, 117, 34, 27, 90, 166, 96, 72, 33, 93, 113, 72, 523, 45, 47, 160, 348, 50, 83, 27, 23, 194, 82, 19, 83, 22, 23, 93, 61, 45, 47, 29, 28, 18, 53, 42, 74, 53, 172, 158, 120, 56, 319, 407, 2045, 92, 52, 345, 73, 103, 87, 18, 23, 82, 122, 27, 24, 1408, 80, 23, 19, 62, 263, 20, 33, 56, 28, 30, 61, 108, 83, 34, 56, NA, 13, 134, 48, 74, 73, 95, 75, 175, 79, 18, 14, 144, 27, 103, 81, 158, 1205, 666, 130, 129, 37, 15, 11, 299, 74, 41, 24, 51, 57, NA, 58, 194, 53, 27, 9, 38, 1062, 208, 33, 28, 29, 120, 46, 60, 46, 36, 69, 126, 102, 101, 217, 71, 23, 29, 113, 71, 82, 162, 22, 17, 25, 62, 70, 191, 30, 40, 56, 45, 25, 16, 742, 128, 55, 32, 225, 53, 24, 83, 132, 291, 49, 56, 118, 32, 43, 31, 103, 183, 70, 21, 75, 159, 179, 218, 88, 195, 55, 61, 79, 18, 62, 53, 85, 24, 93, 344, 284, 49, 96, 43, 11, 66, 155, 138, 50, 78, 130, 45, 53, 140, 41, 118, 30, 47, 36, 43, 61, 33, 99, 159, 14, 94, 44, 34, 123, 58, 21, 10, 74, 54, 20, 33, 26, 19, 184, 75, 47, 49, NA, 38, 176, 57, 32, 35, 12, 21, 50, 88, 545, 103, 35, 49, 110, 42, 105, 27, 228, 373, 79, 78, 48, 77, 17, 8, 255, 87, 94, 63, 42, 71, 39, 46, 158, 48, 176, 52, 59, 51, 97, 32, 18, 36, 47, 52, 117, 73, 172, 28, 42, 133, 102, 103, 233, 38, 46, 77, 38, 66, NA, 26, 198, 58, 258, 206, 168, 62, 437, 51, 82, 283, 155, 287, 387, 63, 45, 33, 28, 20, 127, 102, 63, 331, 121, 99, 91, 28, 150, 10, 15, 107, 111, 43, 295, 303, 658, 337, 94, 350, 143, 100, 80, 276, 365, 216, 233, 228, 29, 126, 0, 298, 57, 114, 203, 179, 16, 182, 61, 21, 139, 29, 39, 1498, 36, 28, 43, 40, 35, 96, 102, 424, 208, 30, 152, 28, 40, 48, 237, 288, 407, 21, 33, 19, 34, 15, 172, 15, 135, 32, 115, 34, 105, 59, 55, 79, 243, 115, 45, 42, 120, 44, 159, 336, 89, 432, 46, 36, 75, 2336, 40, 40, NA, 38
#> $ ipedscount2                   <dbl> 27, 133, 23, 89, 185, 247, 74, 19, 182, 48, 126, 34, 28, 299, 214, 121, 66, 128, 42, 8, 65, 56, 99, 38, 38, 235, 91, 38, 33, 69, 134, 24, 34, 58, 69, 99, 168, 131, 43, 49, 114, 172, 231, 808, 94, 120, 117, 59, 25, 11, 80, 13, 29, 393, 20, 29, 282, 54, 17, 32, 608, 85, 426, 169, 132, 81, 132, 118, 131, 151, 62, 670, 74, 29, 290, 88, 152, 92, 307, 55, 297, 88, 108, 27, 277, 38, 101, 130, 267, 82, 17, 59, NA, 140, 631, 117, 16, 381, 20, 130, 240, 67, 41, 58, 274, 386, 620, 33, 715, 37, 138, 239, 110, 686, 39, 182, 771, 148, 126, 46, 76, 139, 126, 27, 68, 83, 26, 421, 347, 29, 37, 118, 255, 23, 40, 101, 64, 127, 58, 145, 60, 9, 35, 106, 36, 169, 192, 55, 70, 29, 195, 345, 54, 37, 211, 207, 78, 23, 25, 79, 243, 481, 27, 67, 177, 38, 123, 52, 56, 28, 71, 67, 38, 109, 45, 46, 48, 83, 144, 70, 6, NA, 78, 27, 139, 67, 321, 51, 70, 123, 142, 37, 50, 89, 179, 41, 43, 69, 37, 113, 34, 23, 48, 48, 16, 106, 45, 180, 147, 47, 26, 53, 27, 36, 60, 48, 46, 64, 28, 15, 39, 57, 132, 0, 70, 32, 137, 141, 2309, 499, 46, 67, 36, 28, 20, 70, 93, 131, 248, 598, 87, 17, 66, 96, 29, 61, 257, 418, 132, NA, 23, 31, 17, 135, 119, 54, 54, 34, 18, 394, 296, 52, 45, 54, 46, 51, 763, 304, 56, 68, 99, 36, 24, 87, 261, 98, 145, 49, 160, 123, 65, 492, 45, 32, 229, 263, 52, 94, 25, 27, 281, 77, 33, 88, 22, 25, 96, 54, 21, 55, 32, 29, 14, 61, 80, 56, 46, 187, 185, 98, 43, 287, 367, 1790, 73, 68, 294, 74, 95, 120, 16, 20, 80, 129, 27, 50, 2074, 41, 30, 0, 81, 228, 13, 27, 71, 51, 24, 99, 140, 66, 30, 80, NA, 17, 123, 57, 86, 95, 74, 84, 193, 54, 23, 22, 158, 29, 100, 79, 133, 1216, 684, 163, 151, 34, 6, 12, 258, 72, 45, 35, 59, 135, NA, 48, 222, 47, 34, 17, 48, 1078, 274, 26, 40, 41, 134, 42, 55, 55, 29, 88, 138, 137, 118, 189, 48, 25, 27, 75, 117, 75, 344, 25, 44, 18, 55, 58, 209, 39, 60, 50, 54, 28, 25, 793, 98, 50, 23, 261, 74, 27, 61, 77, 270, 31, 63, 135, 42, 27, 24, 64, 225, 94, 21, 62, 156, 197, 225, 72, 158, 63, 71, 57, 21, 60, 50, 70, 42, 67, 308, 361, 56, 86, 42, 9, 39, 163, 139, 61, 44, 117, 27, 22, 144, 113, 134, 55, 34, 37, 43, 85, 34, 82, 214, 11, 108, 57, 30, 128, 58, 26, 20, 75, 58, 23, 39, 42, 26, 153, 66, 40, 24, 35, 54, 188, 45, 37, 54, 18, 14, 34, 116, 549, 126, 41, 29, 124, 31, 104, 14, 358, 265, 57, 132, 57, 49, 8, 24, 266, 97, 90, 74, 58, 79, 26, 42, 188, 39, 182, 46, 77, 92, 69, 30, 17, 56, 32, 48, 137, 55, 103, 32, 58, 119, 78, 121, 224, 35, 38, 88, 37, 44, 24, 62, 202, 92, 240, 82, 154, 52, 375, 32, 82, 434, 175, 255, 405, 68, 67, 27, 28, 18, 143, 76, 69, 315, 95, 107, 79, 34, 185, 24, 16, 87, 109, 45, 302, 390, 645, 373, 99, 393, 129, 119, 58, 239, 356, 207, 279, 223, 38, 138, 18, 305, 88, 102, 259, 171, 23, 302, 103, 16, 137, 29, 38, 1468, 29, 44, 52, 47, 47, 135, 98, 463, 134, 48, 159, 33, 28, 32, 212, 289, 401, 55, 28, 13, 42, 23, 140, 37, 229, 28, 119, 33, 126, 50, 73, 86, 217, 119, 31, 62, 114, 49, 170, 307, 68, 374, 60, 19, 79, 3209, 34, 39, NA, 31
#> $ debt_all_stgp_eval_n          <dbl> 43, 70, 17, 39, 103, 139, 61, 14, 105, 10, 77, 22, 14, 409, 172, 123, 43, 97, 25, 11, 28, 39, 121, 16, NA, 110, 11, 16, 24, 65, 110, 10, 19, 38, 83, 71, 87, 99, 33, 40, 119, 123, 222, 509, 27, 59, 67, 48, 25, 15, 38, 14, 26, 116, 32, 57, 241, 41, 12, 11, 330, 77, 402, 73, 69, 46, 78, 34, 73, 120, 32, 464, 62, 25, 232, 73, 102, 64, 137, 26, 226, 57, 60, 17, 96, 13, 40, 17, 200, 30, 11, 74, NA, 69, 29, 121, 16, 226, 44, 60, 203, 64, 270, 56, 285, 146, 728, 38, 619, 18, 204, 170, 81, 874, 15, 130, 903, 186, 94, 27, 35, 80, 50, 41, 118, 85, 22, 160, 288, 26, 22, 86, 146, 26, 24, 97, 26, 49, 20, 106, 37, 15, 36, 105, 16, 112, 308, 24, 46, 20, 78, 435, 20, 22, 46, 128, 65, 48, 18, 57, 146, 121, 12, 70, 225, 15, 119, 63, 44, 33, 31, 33, 25, 116, 39, 14, 34, 53, 54, 43, 11, 475, 94, 30, 101, 50, 50, 32, 55, 86, 123, 21, 27, 111, 74, 15, 23, 56, 17, 73, 31, 16, 32, 12, 15, 48, 48, 70, 35, 25, 12, 68, 14, 12, 50, 64, 24, 31, 17, 12, 29, 39, 101, NA, 45, 16, 56, 67, 1463, 302, 40, 38, 22, 36, 17, 55, 43, 49, 124, 285, 56, 12, 32, 29, 31, 30, 79, 131, 65, 113, 10, 45, 40, 41, 82, 20, 21, 10, 14, 227, 369, 33, 42, 26, 19, 23, 527, 222, 27, 38, 44, 12, 32, 23, 130, 45, 101, 35, 203, 104, 61, 363, 26, 23, 180, 203, 42, 14, 12, 27, 285, 21, 30, 17, 14, 24, 48, 23, 15, 42, 18, 18, 18, 52, 36, 71, 31, 150, 103, 56, 26, 30, 231, 1030, 75, 44, 284, 47, 44, 40, 20, 11, 65, 64, 25, 11, 1836, 36, 11, 15, 47, 184, 11, 33, 46, 31, 18, 62, 122, 55, 15, 33, 354, 14, 23, 38, 34, 33, 55, 65, 113, 45, 27, 17, 62, 32, 77, 57, 59, 679, 432, 110, 79, 35, 10, 13, 201, 47, 18, 32, 41, 104, NA, 31, 283, 46, 36, 10, 39, 698, 23, 25, 22, 35, 76, 42, 52, 53, 58, 79, 73, 74, 81, 133, 30, 20, 13, 80, 30, 64, 227, 16, 28, 11, 53, 47, 93, 36, 13, 53, 39, 24, 34, 615, 73, 34, 31, 157, 44, 29, 83, 102, 284, 21, 48, 49, 28, 13, 11, 39, 83, 65, 25, 43, 97, 79, 187, 32, 80, 32, 41, 46, 17, 67, 34, 34, 36, 41, 172, 338, 19, 28, 52, 11, 65, 114, 93, 47, 73, 188, 21, 19, 38, 26, 62, 26, 21, 15, 42, 83, 26, 40, 93, 16, 85, 32, 18, 39, 70, 26, 15, 96, 60, 12, 30, 18, 12, 114, 66, 20, 43, NA, 33, 51, 29, 13, 10, 25, 13, 44, 264, 192, 98, 37, 21, 80, 39, 81, 21, 268, 217, 43, 20, 28, 41, 10, 13, 338, 32, 38, 41, 55, 84, 33, 44, 131, 24, 136, 50, 55, 43, 55, 18, 15, 25, 27, 43, 121, 43, 166, 28, 13, 69, 77, 102, 102, 33, 38, 46, 40, 29, 13, 31, 175, 85, 113, 126, 146, 50, 328, 41, 53, 430, 133, 189, 297, 34, 36, 39, 25, 13, 79, 109, 89, 159, 120, 46, 63, 15, 99, 16, 11, 68, 96, 34, 206, 112, 515, 260, 89, 363, 88, 114, 73, 224, 317, 49, 39, 174, 23, 126, 12, 331, 29, 97, 99, 131, 23, 273, 85, 11, 126, 17, 15, 1422, 12, 14, 42, 29, 29, 107, 80, 130, 95, 37, 145, 23, 35, 26, 93, 173, 319, 32, 24, 15, 36, 22, 133, 14, 79, 20, 104, 28, 66, 52, 47, 26, 205, 73, 20, 31, 190, 77, 194, 139, 63, 120, 46, 28, 97, 2793, 15, 37, NA, 17
#> $ debt_all_stgp_eval_mean       <dbl> 52786, 34809, 57391, 23490, 33702, 45043, 25746, 23741, 34435, 36208, 35222, 18609, 32751, 53331, 46475, 37774, 39396, 36890, 33280, 27041, 18850, 50917, 33947, 24395, 45105, 25055, 44637, 28459, 24194, 29764, 44983, 32450, 27309, 25364, 35740, 32847, 32289, 40489, 33635, 35518, 31341, 78722, 75797, 94907, 69106, 92329, 77683, 33909, 42056, 28494, 43593, 49884, 18474, 55271, 48004, 43432, 39166, 45746, 38245, 45086, 85488, 40573, 41659, 53791, 53606, 49740, 64014, 33097, 63320, 66197, 33413, 90863, 55190, 41696, 54107, 45864, 52606, 32775, 43079, 47627, 45702, 38925, 43672, 31072, 50394, 30353, 28170, 23286, 32094, 26086, 26219, 33155, 24887, 32145, 32454, 82305, 34523, 73706, 44196, 46170, 31836, 40832, 38774, 33781, 41299, 37229, 61948, 35219, 42288, 35796, 53568, 78441, 32532, 58397, 30191, 48737, 49500, 34506, 42128, 41970, 28529, 37387, 30974, 41615, 45059, 36864, 30022, 67654, 72904, 24888, 27313, 29145, 60313, 23945, 35938, 24516, 36818, 48243, 40165, 37046, 29206, 46580, 33792, 32889, 30407, 32987, 49858, 19189, 31184, 47748, 51612, 37560, 25983, 35058, 40212, 70801, 29099, 43536, 44064, 29802, 35565, 115085, 16352, 29532, 29769, 33538, 45919, 58676, 32370, 54106, 37186, 26607, 27378, 36660, 27910, 37614, 21798, 29759, 21150, 25933, 22667, 43581, 26771, 71324, 18044, 31717, 36016, 40108, 47005, 39826, 40447, 18969, 26622, 37559, 28375, 19449, 37964, 33223, 16158, 33456, 30106, 30300, 22733, 39674, 25646, 16495, 28062, 33261, 42167, 19390, 19161, 31462, 21920, 28040, 23919, 52835, 31409, 86004, 22514, 26949, 28120, 24223, 50206, 43302, 29451, 29447, 42303, 52451, 48683, 71997, 36372, 23299, 22413, 25905, 21519, 25897, 35295, 32001, 54629, 54938, 65071, 25152, 29275, 31584, 39962, 16356, 29783, 35909, 31521, 38243, 27982, 63481, 27333, 32099, 55207, 30851, 42877, 11534, 49477, 34620, 45588, 58395, 44508, 29613, 30226, 53963, 75835, 49492, 34958, 40484, 34826, 40699, 28953, 30867, 37314, 40331, 39848, 40789, 32907, 44973, 41362, 61641, 29747, 29565, 33201, 46539, 44147, 24935, 26959, 55318, 46665, 22669, 25431, 21836, 40450, 36810, 28308, 24687, 28327, 30220, 24508, 20174, 26806, 41010, 30288, 33408, 18760, 36312, 30871, 42197, 18464, 23271, 83004, 48541, 17022, 37627, 46041, 25245, 27993, 35220, 17646, 17483, 41433, 24577, 24658, 33552, 41764, 43370, 21463, 30603, 35516, 32413, 33066, 26841, 29738, 34036, 38519, 26480, 38773, 52577, 39986, 37756, 58003, 37905, 37490, 27611, 27858, 32282, 30592, 27982, 32262, 25228, 33775, 35911, 37825, 31189, 35251, 38878, 45583, 96404, 103940, 41180, 21140, 25494, 35206, 36967, 61366, 68684, 36160, 29684, 24488, 62378, 31142, 32158, 39417, 30826, 30448, 64540, 65931, 108756, 50291, 28032, 57033, 39780, 46166, 35910, 20740, 31115, 33376, 38691, 39279, 31091, 24906, 39714, 50457, 30777, 22549, 26815, 49652, 38874, 72043, 36839, 26327, 43400, 24066, 29088, 30560, 53096, 31770, 34639, 34416, 40033, 37718, 82256, 35172, 29126, 72096, 39131, 34506, 32838, 31445, 47404, 58952, 29195, 28638, 26845, 17049, 17792, 19643, 47648, 30553, 35432, 40630, 37093, 67417, 36609, 36710, 19834, 30131, 27525, 45112, 30257, 37933, 25934, 30825, 29624, 27384, 34061, 54667, 38101, 27889, 45084, 29725, 30993, 34975, 40584, 35144, 27664, 31741, 32434, 36115, 25023, 23724, 41289, 43076, 21864, 27464, 17326, 28483, 38628, 30467, 46301, 70112, 48357, 43448, 41931, 30620, 38096, 31265, 23027, 24826, 29559, 36562, 43186, 32164, 29922, 39198, 44934, 37548, 33003, 30400, 30482, 33840, 27606, 40893, 20648, 39964, 32382, 41948, 31087, 41759, 75053, 36322, 33409, 35952, 40743, 38313, 24394, 22725, 59699, 42594, 21986, 23543, 43508, 35725, 30131, 28761, 26780, 23146, 32884, 18177, 32904, 37679, 28439, 39577, 38175, 23277, 42920, 23958, 32480, 23774, 25994, 29779, 40278, 24717, 31936, 24026, 42679, 27956, 36097, 25231, 46243, 37355, 29851, 31972, 42392, 31782, 32137, 18227, 19862, 40209, 38262, 21266, 61912, 37470, 15825, 51231, 53082, 17257, 30727, 38897, 33687, 36036, 37176, 40793, 38107, 25813, 19386, 42643, 28292, 26507, 25568, 40349, 41495, 37571, 46381, 42706, 32291, 29374, 98533, 33095, 24289, 23171, 31691, 18003, 42279, 34786, 76933, 43771, 33542, 32722, 48179, 33228, 55101, 36602, 30959, 39901, 32213, 34769, 17187, 29524, 27924, 47357, 28833, 46724, 23823, 41805, 41646, 53205, 46077, 17807, 45767, 28066, 33612, 35797, 20011, 38678, 60317, 34468, 34692, 42354, 48268, 93771, 45479, 29541, 39559, 37081, 40758, 42205, 48903, 40953, 56548, 30873, 32321, 28296, 27806, 28736, 34497, 23523, 31949, 39286, 36781, 33436, 48567, 31157, 36686, 34211, 31152, 31396, 24716, 34723, 38253, 28452, 30343, 48169, 39162, 50094, 37850, 38400, 40744, 14716, 18275, 33804, 24491, 33735
#> $ debt_all_stgp_eval_mdn        <dbl> 50311, 30624, NA, 20004, 35889, 41000, 27500, NA, 34250, NA, 30750, 15400, NA, 44700, 41000, 29753, 40557, 38677, 33286, NA, 20500, 34760, 29743, NA, 46431, 23917, NA, NA, 23414, 31035, 43700, NA, 27500, 20500, 39656, 30728, 34166, 41000, 38662, 31756, 30750, 81000, 72389, 86864, 52347, 94019, 78548, 32699, 41000, NA, 41000, NA, 20500, 51548, 43380, 40500, 40394, 46750, NA, NA, 91630, 41000, 41000, 53604, 47808, 49626, 49450, 31500, 63550, 59380, 41000, 79041, 51250, 43252, 52152, 39681, 51807, 32518, 42500, 44866, 41000, 39934, 41000, NA, 41000, NA, 20500, NA, 30393, 20500, NA, 34572, NA, 30750, 32500, 85000, NA, 65500, 45001, 41000, 29871, 39801, 34560, 33750, 41000, 32000, 61469, 36958, 38524, NA, 53024, 77865, 30750, 51250, NA, 41000, 54454, 31158, 27142, 39448, 30048, 40678, 28646, 40308, 41000, 41000, 30842, 61500, 79888, 20206, 22000, 29000, 58726, 20833, 32950, 20500, 35398, 45836, 41000, 40529, 23451, NA, 36149, 32825, NA, 30509, 48500, 18178, 31025, 51250, 49500, 34580, 25200, 40100, 35778, 61500, 29015, 41000, NA, 29700, 32046, 106803, NA, 33900, 28500, NA, 42300, 50607, 31626, 50718, 40516, 19485, 20794, 36960, 29303, NA, 24458, 30893, 18516, 26739, NA, 45581, 25028, 50048, 14500, 29964, 40268, 39964, 45641, 46322, 43770, 19706, 23774, 40916, 28930, NA, 31727, 35933, NA, 38525, 30050, NA, 21000, NA, NA, 13098, 25991, 30750, 41000, 18007, NA, 34750, NA, NA, 21054, 51250, 30750, 98616, NA, NA, 20298, 20500, 41000, NA, 20800, NA, 39000, 50339, 46000, 68411, 39210, 20945, 23014, 22926, NA, 24163, 36979, 27502, 46711, 49318, 65000, NA, 27255, 20500, 41000, 17307, 27257, 32926, 30750, 37380, NA, 61500, 26262, 20500, 50646, 27333, 41000, NA, NA, 34689, 34000, 36722, 40007, 32280, 36805, 57796, 51250, 51250, 31596, 37294, 34100, NA, 30519, 27333, 38000, 36500, 37199, 41000, 36083, 41000, 38622, 60249, 34075, 27934, 33885, 43105, 44200, NA, NA, 41000, 47706, 23983, 20500, NA, NA, 31000, 20500, 25800, NA, 32197, NA, NA, NA, 41000, 28700, 32295, 18622, 34687, 27200, 40000, 17916, 20350, 77292, 46812, 16615, 31353, 41000, 26041, 28895, 33933, 17300, NA, 37106, 20500, 25570, NA, 40969, 41000, NA, NA, 40692, 30166, NA, 28072, 28750, 36500, NA, 20500, 40902, 50352, NA, 34750, 53414, NA, 34732, 21558, 27768, 32238, 30550, 27462, 29017, 22801, 34166, NA, 35750, 30500, 34167, 42729, 38500, 69500, 111446, 40977, 18580, 23174, NA, NA, 50451, 59132, NA, 33258, 20500, 65000, 31721, 26720, 35875, 30500, 27417, NA, 57930, 95353, 41000, 27750, 61500, 41000, 45268, 35826, 20500, 30500, 30500, 30290, 33672, 31874, 20500, 40000, 38523, 30750, NA, 22747, 51935, 34029, 70653, NA, 25000, NA, 20602, 24375, 25500, 49805, NA, 34839, 34240, 41000, 40316, 74873, 31486, 30574, 60065, 41000, 40445, 30761, 33698, 41814, 57519, 28910, 30193, 29029, 15780, NA, NA, 39806, 26252, 36659, 43491, 33705, 65000, 30750, 34962, 19092, 28518, 20500, 38605, 28607, NA, 25978, 33077, 32675, 24787, 30216, 47440, 41000, 30833, 41525, 30750, NA, 31333, 34133, 35004, 26584, 34166, 36163, 35500, 25356, 17197, 33069, 40460, 22851, 29473, NA, 31000, 41000, 29542, 37249, 70874, NA, 41000, 44312, NA, 41325, 29202, 23500, NA, 27533, 39220, NA, 30149, NA, NA, 42993, 41000, 36343, 32894, 35500, 35875, 26500, 29035, NA, NA, 33821, NA, 34123, 41000, 41000, 36114, 30000, 30750, 42553, 26500, 21195, 20500, 44750, 39907, 22705, 20500, 41000, 37289, NA, NA, 27735, 20500, 30750, 17490, 33848, 37848, 30871, 40808, 39057, 23756, 41000, 20500, 33322, 20500, 20992, NA, NA, 25414, 36527, 25546, 36614, 25281, 41000, 25525, NA, 29011, 26200, 30394, 38500, 29194, 28959, 12725, 17574, 30069, NA, 20500, 57000, 41000, 15199, 51250, 54678, 15488, 27956, 41000, 32302, 40370, 34724, 41000, 37584, 27582, 17800, 42173, 28577, NA, 21350, 41000, 41000, 30750, 43750, 41000, 34961, NA, 90123, NA, NA, 20359, 29604, 18000, 36453, 29203, 82067, 41200, 34418, 34166, 41000, 24666, 53184, 36979, 30552, 36995, 33245, 41000, 13850, 28000, NA, 41000, 30000, 44417, 20500, 39350, 44879, 47060, 41000, NA, 40899, NA, NA, 34166, NA, NA, 61500, 30750, 34936, 35682, 41000, 85690, 47559, 29892, 34644, 40999, 41208, 41000, 41000, 37500, 55437, 30200, 34167, NA, 22500, 29122, 37649, NA, 25319, 36832, 40940, 35500, 37474, 28840, 32650, 37824, 25823, 32720, 25194, 30731, 36007, 29172, 29917, 43811, 41000, 52120, 39940, 30000, 41470, 13319, NA, 30978, 22866, NA
#> $ debt_all_stgp_eval_mdn10yrpay <dbl> 517, 314, NA, 205, 368, 421, 282, NA, 352, NA, 316, 158, NA, 459, 421, 305, 416, 397, 342, NA, 210, 357, 305, NA, 477, 246, NA, NA, 240, 319, 449, NA, 282, 210, 407, 316, 351, 421, 397, 326, 316, 832, 743, 892, 537, 965, 807, 336, 421, NA, 421, NA, 210, 529, 445, 416, 415, 480, NA, NA, 941, 421, 421, 550, 491, 510, 508, 323, 653, 610, 421, 812, 526, 444, 535, 407, 532, 334, 436, 461, 421, 410, 421, NA, 421, NA, 210, NA, 312, 210, NA, 355, NA, 316, 334, 873, NA, 673, 462, 421, 307, 409, 355, 347, 421, 329, 631, 379, 396, NA, 544, 799, 316, 526, NA, 421, 559, 320, 279, 405, 309, 418, 294, 414, 421, 421, 317, 631, 820, 207, 226, 298, 603, 214, 338, 210, 363, 471, 421, 416, 241, NA, 371, 337, NA, 313, 498, 187, 319, 526, 508, 355, 259, 412, 367, 631, 298, 421, NA, 305, 329, 1097, NA, 348, 293, NA, 434, 520, 325, 521, 416, 200, 214, 379, 301, NA, 251, 317, 190, 275, NA, 468, 257, 514, 149, 308, 413, 410, 469, 476, 449, 202, 244, 420, 297, NA, 326, 369, NA, 396, 309, NA, 216, NA, NA, 134, 267, 316, 421, 185, NA, 357, NA, NA, 216, 526, 316, 1013, NA, NA, 208, 210, 421, NA, 214, NA, 400, 517, 472, 702, 403, 215, 236, 235, NA, 248, 380, 282, 480, 506, 667, NA, 280, 210, 421, 178, 280, 338, 316, 384, NA, 631, 270, 210, 520, 281, 421, NA, NA, 356, 349, 377, 411, 331, 378, 593, 526, 526, 324, 383, 350, NA, 313, 281, 390, 375, 382, 421, 370, 421, 397, 619, 350, 287, 348, 443, 454, NA, NA, 421, 490, 246, 210, NA, NA, 318, 210, 265, NA, 331, NA, NA, NA, 421, 295, 332, 191, 356, 279, 411, 184, 209, 794, 481, 171, 322, 421, 267, 297, 348, 178, NA, 381, 210, 263, NA, 421, 421, NA, NA, 418, 310, NA, 288, 295, 375, NA, 210, 420, 517, NA, 357, 548, NA, 357, 221, 285, 331, 314, 282, 298, 234, 351, NA, 367, 313, 351, 439, 395, 714, 1144, 421, 191, 238, NA, NA, 518, 607, NA, 341, 210, 667, 326, 274, 368, 313, 282, NA, 595, 979, 421, 285, 631, 421, 465, 368, 210, 313, 313, 311, 346, 327, 210, 411, 396, 316, NA, 234, 533, 349, 725, NA, 257, NA, 212, 250, 262, 511, NA, 358, 352, 421, 414, 769, 323, 314, 617, 421, 415, 316, 346, 429, 591, 297, 310, 298, 162, NA, NA, 409, 270, 376, 447, 346, 667, 316, 359, 196, 293, 210, 396, 294, NA, 267, 340, 335, 255, 310, 487, 421, 317, 426, 316, NA, 322, 350, 359, 273, 351, 371, 365, 260, 177, 340, 415, 235, 303, NA, 318, 421, 303, 382, 728, NA, 421, 455, NA, 424, 300, 241, NA, 283, 403, NA, 310, NA, NA, 441, 421, 373, 338, 365, 368, 272, 298, NA, NA, 347, NA, 350, 421, 421, 371, 308, 316, 437, 272, 218, 210, 459, 410, 233, 210, 421, 383, NA, NA, 285, 210, 316, 180, 348, 389, 317, 419, 401, 244, 421, 210, 342, 210, 216, NA, NA, 261, 375, 262, 376, 260, 421, 262, NA, 298, 269, 312, 395, 300, 297, 131, 180, 309, NA, 210, 585, 421, 156, 526, 561, 159, 287, 421, 332, 415, 357, 421, 386, 283, 183, 433, 293, NA, 219, 421, 421, 316, 449, 421, 359, NA, 925, NA, NA, 209, 304, 185, 374, 300, 843, 423, 353, 351, 421, 253, 546, 380, 314, 380, 341, 421, 142, 287, NA, 421, 308, 456, 210, 404, 461, 483, 421, NA, 420, NA, NA, 351, NA, NA, 631, 316, 359, 366, 421, 880, 488, 307, 356, 421, 423, 421, 421, 385, 569, 310, 351, NA, 231, 299, 387, NA, 260, 378, 420, 365, 385, 296, 335, 388, 265, 336, 259, 316, 370, 300, 307, 450, 421, 535, 410, 308, 426, 137, NA, 318, 235, NA
#> $ earn_count_wne_hi_1yr         <dbl> 45, 87, NA, 57, 119, 177, 32, 12, 94, 15, 129, 22, 19, 608, 208, 161, 49, 91, 37, NA, 25, 58, 151, 32, 117, 73, 12, NA, 53, 52, 128, 18, 22, 44, 91, 86, 92, 85, 24, 37, 173, 76, 290, 733, 18, 78, 75, 52, 17, NA, 63, 15, 22, 260, 36, 58, 303, 38, NA, 25, 369, 68, 416, 81, 105, 55, 80, 71, 104, 172, 47, 501, 70, 28, 287, 68, 144, 62, 265, NA, 333, 83, 65, 23, 217, NA, 132, 17, 262, 62, 18, 78, 20, 111, 80, 76, 16, 307, 48, 76, 208, 75, 326, 48, 299, 277, 655, 41, 799, 14, 192, 211, 109, 824, 46, 157, 895, 287, 90, 46, 33, 90, 56, 47, 121, 94, 30, 197, 322, 16, 34, 104, 157, 52, 28, 135, 21, 78, 41, 118, 59, 17, 35, 115, 23, 84, 357, 50, 51, 25, 107, 403, 30, 13, 56, 138, 103, 82, 46, 71, 218, 118, 11, 86, 168, 26, 156, 89, 50, 43, 49, 56, 48, 133, 25, 19, 23, 62, 34, 38, 13, 631, 106, 27, 141, 70, 200, 52, 123, 69, 344, 25, 43, 138, 100, 47, 32, 59, 31, 72, 40, 24, 65, NA, NA, 52, 42, 67, 39, 34, 14, 108, 20, 21, 59, 46, 58, 41, 28, 21, 26, 50, 109, 12, 79, 24, 71, 125, 1575, 409, 48, 71, 39, 45, NA, 115, 33, 48, 201, 371, 91, 16, 40, 69, 28, 35, 139, 330, 89, 78, 24, 81, 47, 50, 89, 58, 56, NA, 22, 301, 374, 37, 48, 47, 56, 57, 648, 230, 63, 44, 92, 22, 39, NA, 151, 108, 78, 79, 188, 113, 56, 275, 21, 45, 156, 351, 41, 30, 17, 19, 240, 13, 23, 52, 15, 19, 71, 48, 30, 40, 43, 24, 25, 69, 74, 93, 51, 91, 130, 89, 37, 50, 273, 1521, 138, 41, 349, 63, 117, 80, 17, 24, 69, 109, 26, 16, 1841, 64, 15, 22, 80, 200, 24, 36, 58, 20, 29, 101, 122, 65, 38, 46, 410, 15, 30, 49, 57, 70, 70, 66, 155, 39, 18, 18, 103, 36, 100, 93, 108, 723, 474, 136, 66, 44, 17, 14, 274, 54, 26, 35, 81, 102, 32, 61, 225, 41, 34, NA, 43, 980, 22, 42, 28, 12, 88, 44, 87, 60, 65, 100, 93, 85, 102, 183, 60, 13, 32, 112, 55, 71, 163, 11, NA, 31, 58, 62, 117, 24, 20, 58, 39, 36, 19, 678, 93, 49, 28, 171, 39, 17, 100, 88, 340, 46, 52, 57, 22, 38, 25, 77, 158, 106, 36, 75, 127, 127, 222, 63, 84, 61, 62, 91, 33, 77, 46, 31, 24, 50, 267, 362, 17, 47, 49, 19, 77, 119, 113, 59, 77, 163, 48, 35, 67, 24, 82, 37, 30, 27, 21, 83, 29, 35, 149, 18, 84, 48, 28, 105, 81, 20, 14, 94, 58, 16, 40, 37, 25, 208, 44, 57, 51, 61, 36, 58, 75, 40, 24, NA, 21, 37, 405, 313, 153, 43, 30, 101, 61, 111, 28, 254, 221, 87, 55, 29, 69, 25, 18, 310, 82, 72, 71, 42, 101, 16, 37, 117, NA, 186, 72, 64, 39, 96, 23, 17, 24, 54, 39, 148, 60, 124, 35, 20, 118, 103, 116, 154, 33, 45, 72, 48, 71, NA, 28, 157, 66, 130, 139, 171, 45, 463, 68, 85, 215, 157, 255, 361, 25, 61, 41, 29, 18, 102, 122, 79, 229, 120, 53, 103, 17, 117, NA, 19, 112, 122, 92, 289, 175, 649, 323, 107, 378, 140, 122, 99, 251, 491, 39, NA, 259, 25, 172, NA, 311, 37, 120, 109, 107, 12, 247, 49, NA, 175, 16, 42, 1725, 20, 29, 37, 41, 23, 97, 112, 172, 125, 34, 192, 20, 43, 37, 151, 228, 475, 31, 29, 16, 29, 28, 187, 23, 81, 28, 144, 36, 130, 69, 68, 79, 269, 83, 38, 23, 154, 50, 174, 163, 78, 196, 59, 36, 97, 2462, 37, 50, 47, 29
#> $ earn_mdn_hi_1yr               <dbl> 40737, 67202, NA, 68499, 81031, 107636, 45529, 53358, 66686, 65053, 60240, 58673, 82882, 98670, 97211, 63377, 67101, 127000, 59986, NA, 57318, 54948, 71255, 55286, 62756, 63005, 79450, NA, 68499, 66573, 73378, 82440, 61814, 63749, 84161, 76460, 78719, 74063, 101406, 95739, 74576, 108244, 103705, 150453, 55338, 109763, 78134, 63005, 71575, NA, 114223, 122038, 55512, 75573, 62260, 71435, 65310, 77401, NA, 67420, 99335, 64493, 74641, 79284, 92410, 76460, 98403, 98213, 133919, 109763, 74200, 128506, 69897, 37208, 89790, 67660, 81391, 59124, 94851, NA, 71575, 65984, 54109, 74576, 115897, NA, 91211, 52524, 69218, 76930, 60320, 63997, 69338, 92885, 58866, 89130, 48823, 112701, 63600, 54531, 45665, 50606, 75957, 53608, 67660, 76325, 69119, 61814, 89535, 81812, 41193, 76041, 69967, 56329, 58221, 66062, 56796, 69032, 50606, 65131, 51106, 60485, 55964, 40402, 58173, 52107, 54035, 130046, 127602, 57318, 64990, 73635, 105167, 41937, 53108, 60920, 64493, 75623, 64990, 76773, 62579, 90412, 71486, 67273, 72796, 58221, 101406, 53984, 73041, 76460, 81807, 72685, 70176, 91744, 61218, 84653, 60452, 68219, 71351, 62012, 93555, 160423, 63005, 53244, 54442, 74200, 60275, 52789, 74307, 62012, 57318, 70176, 66325, 69338, 48198, 97071, 54435, 74576, 61516, 69338, 43798, 66941, 63855, 68666, 64865, 79473, 97959, 71575, 82440, 72719, 69146, 63005, 55286, 58221, 82238, 67660, 66045, 54192, 46478, 65131, 55713, 69338, 71015, NA, NA, 50856, 47260, 52420, 60878, 60839, 53358, 60399, 54635, 78343, 50856, 44942, 52107, 104749, 55036, 74576, 60771, 50231, 79473, 70456, 73769, 69338, 105083, 93646, 74230, 108154, 56234, 65089, 55964, 41789, NA, 64940, 55108, 102409, 115060, 111713, 73949, 63005, 63005, 70112, 77401, 75921, 83270, 109492, 77401, 62632, 79450, 76083, 47260, 63005, 72902, 72605, 122038, NA, 52107, 66631, 62674, 64990, 61888, 109095, 65486, 91078, 140364, 100951, 97071, 71854, 90146, 55338, 57995, NA, 80004, 77297, 74576, 82882, 78971, 74262, 57318, 115006, 67362, 81333, 75352, 107198, 77715, 53629, 52107, 38289, 47025, 41007, 46478, 70009, 31670, 63005, 79598, 49136, 52941, 53472, 53608, 55964, 49621, 54585, 57318, 54739, 48901, 61888, 68666, 81491, 55964, 71392, 112939, 65476, 54621, 61516, 75405, 74576, 80082, 83768, 44170, 71575, 93816, 79884, 58673, 62012, 68321, 60771, 69338, 70456, 87309, 76729, 70009, 60298, 77087, 64196, 59124, 67660, 89613, 84653, 100690, 90264, 112363, 57318, 114225, 56931, 82440, 68666, 71854, 54296, 64196, 52941, 69338, 55964, 68047, 34420, 62756, 68422, 52492, 166356, 155273, 101494, 54534, 55211, 51273, 67660, 108092, 105863, 47260, 61020, 56276, 61651, 71015, 84653, 61859, 66449, 56641, NA, 54109, 150006, 63005, 59648, 109763, 57318, 66049, 55078, 54470, 54769, 66293, 58402, 63898, 71575, 68499, 76208, 60185, 52107, 56776, 59288, 72325, 75706, 93768, 48041, NA, 57318, 54109, 56931, 63275, 76460, 50856, 56234, 50856, 53775, 53358, 135907, 82440, 66728, 53775, 86997, 61814, 52107, 61859, 87309, 81491, 89968, 68079, 61516, 41349, 73949, 63005, 73231, 73500, 89841, 81997, 80234, 81836, 79284, 67918, 64150, 65238, 64493, 75518, 60623, 48823, 56641, 99960, 43426, 59350, 61303, 98720, 89083, 52107, 70596, 72762, 63005, 68079, 68708, 83848, 80166, 57860, 55456, 57770, 69338, 72274, 81333, 106421, 61177, 54035, 57995, 61516, 76460, 55964, 63005, 82808, 57318, 91539, 67995, 58221, 82756, 66287, 55964, 54713, 55964, 63997, 63005, 65332, 63749, 94408, 65238, 53045, 62579, 48432, 62012, 84653, 61020, 82756, 79284, 120549, NA, 47846, 59045, 95618, 179111, 57149, 61516, 50606, 91502, 55964, 67660, 54869, 110109, 108265, 75204, 87815, 59485, 55693, 66821, 78971, 51690, 65734, 82440, 61681, 58943, 63749, 51273, 57318, 72983, NA, 102902, 49883, 57017, 61064, 77144, 50856, 54713, 52941, 75330, 57995, 58402, 52107, 49527, 44021, 52107, 75282, 64493, 76460, 102743, 57318, 53984, 63997, 60523, 72860, NA, 55286, 100087, 69897, 68858, 62546, 73486, 48041, 75097, 71575, 82756, 66772, 70680, 99069, 62528, 53358, 46254, 58673, 61020, 60433, 86036, 58221, 64493, 128149, 74200, 65486, 73852, 72482, 111769, NA, 56415, 68548, 64150, 59576, 105083, 73164, 137496, 95317, 63005, 73787, 108532, 75204, 59350, 84653, 67524, 63005, NA, 121825, 64493, 83704, NA, 100554, 81491, 83915, 79284, 79150, 58673, 69165, 56234, NA, 102902, 67660, 105465, 60729, 69338, 74200, 87604, 63005, 62260, 121046, 93467, 173400, 81886, 46478, 85243, 57318, 64990, 57318, 91211, 98551, 135440, 62012, 63997, 35416, 62409, 61218, 69338, 66915, 73399, 73949, 65524, 63005, 100738, 57318, 84653, 83388, 64295, 79541, 77715, 73949, 35351, 32806, 37208, 96288, 54509, 71575, 72274, 51607, 77297, 71819, 71015, 83388, 63997, 65657
#> $ earn_count_wne_hi_2yr         <dbl> 37, 74, NA, NA, 95, 131, 11, NA, 72, 12, 109, 16, 13, 552, 148, 172, 34, 54, 31, NA, 13, 50, 73, 27, 121, 32, NA, NA, 52, 62, 91, 19, 25, 33, 85, 72, 53, 58, 21, 36, 182, 108, 159, 654, 14, 70, 82, 37, NA, 14, 50, NA, NA, 272, 21, 35, 222, 48, NA, 13, 376, 24, 258, 37, 116, 49, 90, 35, 105, 134, 46, 638, 95, 12, 266, 69, 165, 43, 161, 32, 278, 80, 28, 22, 174, NA, 105, NA, 164, 41, 16, 52, NA, 35, 37, 73, 13, 370, 46, 99, 136, NA, 166, 36, 216, 247, 681, 34, 717, NA, 217, 185, 94, 590, 76, 128, 717, 223, 67, 54, 29, 30, 59, 34, 46, 66, 23, 170, 293, 16, NA, 87, 130, 51, 23, 83, 27, 81, 22, 100, 37, 14, 21, 78, 18, 76, 316, 34, 46, 29, 88, 150, 28, NA, 150, 94, 80, 66, 35, 90, 192, 116, NA, 55, 88, 23, 136, 79, 30, 43, 64, 43, 29, 131, 15, NA, NA, 42, 19, 20, NA, 504, 88, 22, 86, 42, 193, 40, 104, 30, 358, 15, 39, 82, 45, 44, 14, 38, 21, 41, 33, 13, 34, NA, NA, 18, 16, 48, 33, 16, 15, 120, 25, 19, 42, 52, 53, 53, 13, NA, 16, 55, 31, NA, 43, 21, 61, 133, 1384, 287, 47, 67, 26, 30, 23, 93, 34, 51, 189, 313, 52, 16, NA, 62, 31, 35, 68, 218, 69, 54, 14, 82, 17, 21, 71, 43, 43, 21, 16, 251, 246, 37, 30, 33, 59, 45, 626, 128, 54, 19, 70, 18, 27, NA, 134, 109, 58, 64, 142, 95, 52, 89, NA, 32, 144, 297, 31, 30, NA, NA, 220, 16, 21, NA, 14, 18, 47, 24, 17, 34, 42, 16, 31, 40, 44, 73, 41, 19, 104, 89, 19, 59, 122, 1114, 99, 47, 205, 54, 124, 79, 15, 12, 71, 93, 15, 17, 1017, 38, 15, 18, 104, 173, NA, 21, 36, 25, 20, 94, 53, 56, 29, 35, 201, NA, 28, 35, 56, 42, 46, 59, 108, NA, NA, 12, 62, 22, 73, 66, 76, 665, 466, 117, 19, 43, 13, NA, 249, 46, 22, 22, 63, 104, 19, 52, 143, 26, 35, NA, 51, 942, 17, 26, 24, NA, 50, 35, 72, 22, 49, 84, 81, 38, 73, 99, 47, 16, 23, 46, 37, 46, 45, NA, NA, 28, 43, 63, 110, 30, 19, 39, 19, 40, 14, 315, 70, 44, 20, 74, 23, 11, 54, 37, 289, 33, 58, 29, 13, 18, 21, 46, 115, 96, 56, 48, 116, 60, 250, 53, 52, 40, 60, 67, 35, 82, 31, 33, NA, 35, 224, 305, NA, 37, 26, 14, 58, 56, 78, 45, 23, 75, 48, 27, 27, 37, 57, 16, 13, 19, NA, 94, NA, 30, 99, NA, 82, 38, 19, 100, 72, NA, NA, 57, 21, 25, 45, 37, 25, 129, 21, 51, 17, 33, 38, 50, 43, 40, 17, NA, 14, 19, 376, 270, 176, 35, NA, 113, 46, 81, 28, 167, 89, 59, 37, 16, 59, 11, 13, 220, 63, NA, 75, 37, 74, 21, 13, 99, NA, 154, 46, 59, 28, 58, 14, 15, 19, 61, 25, 103, 23, 31, 18, 12, 118, 64, 84, 159, 18, 36, 46, 48, 50, NA, NA, 106, 43, 25, 129, 186, 31, 355, 35, 78, 38, 151, 265, 314, 21, 66, 29, 18, 15, 84, 82, 53, 194, 103, 21, 94, NA, 113, NA, 14, 87, 118, 130, 272, 165, 591, 210, 78, 185, 125, 90, 89, 170, 446, 37, NA, 199, 22, 100, NA, 113, 38, 112, 45, 111, NA, 201, 26, NA, 138, 32, 39, 1359, NA, 28, 27, 20, 16, 68, 116, 310, 91, 21, 178, 21, 23, 33, 140, 149, 476, 34, 16, NA, 19, 37, 193, 20, 81, 15, 143, 11, 128, 48, 63, 43, 226, 49, 32, 17, 158, 51, 137, 88, 51, 156, 46, 21, 93, 1704, 39, 35, 14, 23
#> $ earn_mdn_hi_2yr               <dbl> 43798, 70176, NA, NA, 80004, 114892, 50856, NA, 66461, 52107, 58549, 58221, 81333, 98650, 92743, 65042, 54739, 106421, 57318, NA, 48432, 67101, 74105, 58402, 59425, 73075, NA, NA, 71015, 73949, 72214, 85357, 50856, 69338, 90049, 80779, 79838, 67660, 106421, 88907, 73739, 116258, 90983, 143744, 60320, 101406, 80459, 62012, NA, 63005, 88861, NA, NA, 69657, 47260, 67660, 65238, 78074, NA, 76460, 92733, 69338, 79037, 68499, 89672, 80124, 96866, 87973, 128588, 108331, 83768, 131090, 63997, 47260, 89184, 71015, 80503, 66541, 80301, 54661, 66897, 57318, 60161, 87604, 106249, NA, 90348, NA, 70044, 73949, 52941, 64706, NA, 86424, 54697, 99458, 41193, 114046, 61303, 51482, 46790, NA, 75047, 52107, 59688, 75787, 67685, 61020, 88546, NA, 39653, 83022, 65557, 58605, 60689, 62806, 56918, 66566, 53358, 62260, 45696, 59253, 49854, 38289, 60173, 53894, 51106, 134287, 127034, 52941, NA, 65486, 111283, 41342, 55964, 62343, 56415, 78719, 49683, 74786, 61516, 84653, 64493, 65238, 84653, 59576, 100096, 54386, 84653, 73635, 80189, 71661, 72884, NA, 60071, 87470, 59942, 63600, 62260, 58303, 91587, 189565, NA, 48432, 57770, 68778, 61350, 55840, 69338, 71957, 54809, 56931, 63166, 65238, 52107, NA, NA, 62260, 61020, 63005, NA, 66326, 64706, 63005, 57589, 70680, 96991, 68666, 78657, 63005, 67473, 67660, 55286, 57995, 73299, 57318, 56641, 61218, 48432, 69338, 60523, 71015, 57318, NA, NA, 49787, 48432, 61144, 36560, 84653, 61814, 63692, 56641, 67101, 51106, 49344, 46869, 87973, 58673, NA, 58673, 49883, 75204, NA, 78719, 74576, 106421, 92188, 72006, 106102, 51750, 68331, 53537, 52107, 52107, 64572, 63005, 89968, 115060, 106688, 72214, 61177, NA, 64328, 82882, 75518, 71854, 99741, 74200, 61516, 78971, 71778, 46478, 68666, 83388, 71015, 119061, 53775, 69338, 65180, 63318, 81111, 66077, 103746, 64493, 89968, 140166, 98481, 90856, 73635, 89412, 57318, 60771, NA, 90079, 73801, 72602, 80858, 75795, 65238, 65131, 112319, NA, 75204, 72469, 101300, 66915, 55964, NA, NA, 46673, 55964, 46087, NA, 33993, 59722, 88527, 53358, 50465, 59969, 55286, 56563, 47650, 54035, 52107, 53358, 51197, 52265, 70176, 88904, 70456, 58402, 112270, 64473, 50856, 58673, 71495, 73949, 87068, 91017, 55512, 50558, 90856, 82440, 64990, 66171, 69218, 60771, 59417, 55286, 79755, 74953, NA, 73446, 65486, 63749, 73635, 62211, 88971, 85918, 97604, 79473, 109327, NA, 125611, 57318, 71015, 65238, 62409, 54192, 59688, NA, NA, 49644, 70296, 33993, 65387, 71575, 54622, 170426, 145332, 101518, 52107, 56157, 47260, NA, 113850, 108092, 70456, 58673, 56776, 60623, 81498, 88506, 64196, 68499, 52941, NA, 59788, 145543, 96539, 61516, 90637, NA, 67101, 59124, 54401, 58673, 81997, 54686, 63430, 74576, 68443, 68499, 50563, 46478, 51607, 56716, 69897, 76460, 77966, NA, NA, 58557, 49084, 54810, 64493, 71854, 67660, 54748, 48849, 49214, 55964, 127836, 84653, 64121, 44384, 74200, 65486, 49683, 57318, 86867, 76836, 84653, 55286, 60230, 57318, 76460, 58673, 81111, 73035, 86129, 79688, 83177, 85860, 79284, 65610, 63005, 61814, 58402, 73635, 52733, 55964, 61814, 98403, 61516, NA, 62260, 108577, 90283, NA, 71575, 72899, 60161, 65089, 69338, 84284, 64706, 66077, 58092, 67324, 67660, 69338, 76083, 95473, 46087, 63328, 69338, NA, 75518, NA, 63997, 86621, NA, 86867, 72510, 44971, 79284, 60878, NA, NA, 48139, 60623, 58221, 72796, 66104, 82440, 65486, 58402, 54154, 45383, 58402, 86867, 59726, 84100, 73425, 96183, NA, 67164, 61516, 94864, 175674, 57735, 58221, NA, 82440, 51169, 65066, 59124, 102409, 109095, 67660, 91211, 59169, 52733, 64990, 57318, 50677, 65198, NA, 61888, 61020, 59425, 42682, 48432, 74262, NA, 95102, 48198, 54724, 60771, 68778, 46087, 116083, 50465, 76460, 69338, 63005, 43798, 53810, 39369, 33987, 73446, 67101, 76041, 99251, 43240, 54463, 62579, 68219, 70456, NA, NA, 96457, 65131, 57318, 67324, 77966, 62012, 68688, 80022, 78343, 64990, 67324, 92563, 59253, 60771, 45696, 67660, 64990, 59124, 77401, 55625, 54109, 127993, 65486, 63005, 68858, NA, 120363, NA, 52941, 68965, 60013, 57526, 115761, 76460, 131707, 94674, 52420, 68858, 97663, 74786, 52941, 75706, 65131, 53984, NA, 119642, 52107, 71015, NA, 98213, 76878, 80521, 73635, 79912, NA, 68499, 45500, NA, 105585, 63749, 91744, 57714, NA, 78896, 74157, 58673, 76460, 113246, 93467, 155263, 74200, 53358, 82685, 77715, 61064, 58221, 86424, 100915, 127652, 63005, 57995, NA, 63005, 63005, 66461, 65797, 72462, 94408, 60689, 88198, 98506, 61218, 85206, 80292, 65267, 77087, 73949, 63997, 32678, 33993, 37208, 88342, 43519, 78029, 74576, 56415, 79389, 70169, 66821, 64990, 53358, 66821
#> $ tuit_grad_res                 <dbl> 8130, 7588, 11700, 9834, 10470, 9072, 9540, 9936, 5598, 18530, 7146, 8436, 11700, 10810, 11372, 8956, 7680, 7379, 4626, 4932, 4594, 15678, 13152, 5022, 16224, 11430, 17500, 6738, 6738, 6738, 6738, 6738, 6738, 6738, 6738, 6738, 6738, 6738, 6738, 6738, 6738, 11220, 11220, 11220, 11220, 11220, 26896, 8150, 16722, 14940, 17550, 17532, 6738, 13320, 12888, 10452, 11232, 15696, 16713, 44068, 31300, 10980, 20100, 6738, 25470, 6738, 23310, 6738, 27594, 36657, 6738, 41592, 34680, 4410, 6714, 9983, 10836, 12567, 9628, 45288, 11250, 20720, 14940, 6496, 13726, 16632, 12060, 15660, 17730, 20745, 12822, 6497, 6497, 30960, 8190, 28422, 17100, 28800, 13410, 17820, 13050, 6916, 16296, 8019, 5467, 22338, 8912, 16725, 10770, 13320, 21964, 34200, 8570, 18373, 10755, 18996, 9630, 8350, 14076, 16768, 12269, 10584, 7088, 3402, 11736, 5512, 5706, 39800, 13452, 3330, 5187, 6636, 8492, 8910, 4374, 3996, 18600, 15288, 17190, 6232, 6789, 6460, 8851, 10800, 15300, 14328, 18960, 6936, 29730, 7368, 13263, 17168, 7466, 29784, 14310, 18594, 9662, 10962, 15372, 12906, 11858, 50424, 6408, 14845, 24750, 12780, 18996, 17993, 13302, 15100, 10524, 6312, 7767, 11663, 6750, 11460, 7872, 35492, 8497, 7128, 6648, 13000, 16403, 11070, 11700, 8474, 8856, 6996, 16020, 17964, 9990, 5922, 3398, 10068, 9480, 9306, 9670, 12000, 6218, 10764, 10085, 8250, 5173, 10950, 11904, 5670, 6552, 11400, 9132, 6593, 5703, 7234, 5686, 6490, 6540, 5336, 5511, 49030, 7524, 8460, 6840, 24468, 13140, 7182, 7092, 8100, 50410, 15840, 8244, 11718, 7074, 12167, 6858, 14106, 10530, 11610, 22420, 33800, 27216, 49176, 48507, 1675, 13736, 42800, 14793, 3186, 14304, 13524, 16863, 22633, 2520, 20556, 29640, 14994, 32333, 24120, 25344, 2700, 25128, 12232, 12942, 27666, 15120, 13712, 12720, 19116, 21466, 16764, 11300, 9959, 16338, 12869, 10710, 6927, 14746, 13312, 12778, 9630, 8550, 8532, 7185, 16240, 8820, 7373, 8100, 24386, 14076, 6885, 6720, 5269, 10080, 6298, 7141, 7644, 6858, 10206, 7780, 7549, 8400, 7575, 6683, 8496, 7200, 12654, 15672, 9405, 4551, 8025, 15030, 19350, 6307, 4644, 48950, 12690, 8400, 4135, 9810, 3600, 4649, 7134, 14038, 3600, 4968, 4752, 16000, 13560, 18810, 9108, 9810, 16720, 15660, 21564, 18000, 15102, 12960, 10196, 13156, 24156, 10464, 19008, 14545, 22239, 16536, 19476, 33328, 10686, 12024, 10998, 3934, 4418, 7780, 4088, 14376, 3026, 37623, 32517, 14310, 29286, 26460, 43552, 29500, 10130, 10130, 10130, 16380, 15624, 32160, 22320, 19116, 27087, 13536, 28272, 17505, 14040, 15156, 19170, 13500, 13230, 42610, 39936, 21870, 10350, 28680, 13482, 41804, 12240, 13194, 14382, 16182, 15930, 15888, 10870, 10870, 10870, 10870, 10870, 10870, 10870, 10870, 10870, 34632, 16200, 17483, 19800, 4744, 11326, 4656, 12654, 3371, 7722, 9900, 13770, 4545, 9643, 4252, 5117, 4647, 8088, 4448, 3639, 11520, 11194, 37520, 9450, 4348, 12100, 6865, 7185, 5570, 7731, 5713, 12697, 7632, 11250, 42576, 12790, 9565, 16020, 14400, 16008, 11090, 11349, 10200, 10260, 12890, 8964, 10825, 10620, 11560, 9510, 12600, 13166, 18636, 18936, 11970, 13474, 10908, 8492, 9270, 20772, 6043, 3899, 5033, 13734, 4886, 4464, 5316, 22230, 10762, 15504, 15000, 12150, 14391, 30421, 13248, 17496, 14292, 19560, 13140, 11592, 11520, 11592, 16261, 16254, 11592, 7824, 32184, 22212, 16200, 17370, 11934, 11772, 13248, 11592, 23020, 43320, 25560, 10106, 9300, 12060, 19964, 32286, 15858, 12240, 25000, 11352, 12672, 11592, 11592, 15786, 17917, 15840, 11592, 24800, 22368, 13260, 26832, 11826, 8880, 11796, 9180, 7542, 3750, 15075, 70, 8826, 7650, 12398, 13320, 14312, 6840, 7516, 8300, 20160, 8580, 22600, 5700, 18576, 7992, 9024, 11376, 18956, 8820, 7974, 8100, 11044, 8502, 8380, 9200, 6426, 6870, 19890, 3783, 28494, 12240, 3568, 15408, 30200, 3619, 3630, 16481, 7074, 6602, 5798, 7956, 15930, 6048, 3350, 20115, 14940, 3849, 5450, 15390, 4362, 35712, 25092, 20934, 5139, 15570, 40896, 10350, 4896, 6167, 3672, 3228, 5784, 7141, 11300, 12418, 4497, 4896, 26640, 5186, 1600, 5400, 4522, 10620, 4402, 6680, 7280, 5323, 7192, 6473, 7677, 13412, 14436, 17073, 15096, 9000, 12726, 13715, 10628, 10776, 9648, 8051, 8820, 6588, 16920, 8736, 20304, 12467, 10976, 15026, 13914, 10953, 16457, 18202, 25381, 13800, 19353, 11224, 15207, 9582, 11952, 5770, 9000, 10176, 12015, 10539, 10170, 16164, 10305, 4860, 19350, 7936, 7640, 7640, 10387, 7640, 7640, 4338, 2652, 2652, 2652, 9208, 10692, 11160, 6738, 11880, 6738, 6500, 6974, 6738, 9000, 5144
#> $ fee_grad_res                  <dbl> 1236, 0, 1390, 508, 0, 1624, 840, 640, 1226, 610, 802, 1385, 410, 696, 1011, 451, 1604, 971, 1292, 1026, 1287, 500, 0, 918, 220, 710, 150, 3603, 1385, 1256, 1138, 1595, 1568, 951, 841, 1088, 1092, 988, 911, 1115, 1428, 2017, 1844, 1463, 2118, 1865, 370, 0, 300, 40, 85, 500, 1737, 180, 930, 135, 0, 80, 619, 380, 120, 0, 172, 1612, 354, 1012, 50, 1946, 0, 0, 1916, 713, 400, 2488, 1738, 0, 1774, 840, 2088, 303, 0, 184, 2510, 4460, 2270, 80, 510, 200, 720, 0, 828, 4722, 4801, 792, 50, 690, 526, 45, 0, 0, 100, 1956, 1294, 1857, 1190, 250, 2185, 200, 1967, 0, 1200, 1016, 1797, 802, 400, 0, 0, 2078, 0, 0, 450, 80, 1974, 1602, 400, 1454, 1850, 3180, 2200, 1376, 2022, 2092, 2270, 0, 2116, 1962, 0, 880, 130, 2208, 1713, 2070, 120, 0, 260, 360, 330, 2769, 250, 1900, 3080, 720, 1504, 500, 100, 848, 0, 390, 0, 0, 1981, 440, 1389, 100, 0, 100, 313, 327, 375, 450, 4059, 1642, 3558, 0, 200, 960, 0, 588, 500, 200, 595, 0, 930, 428, 0, 1075, 1501, 0, 280, 0, 240, 1884, 657, 0, 958, 406, 862, 0, 1514, 0, 0, 110, 905, 0, 300, 300, 150, 0, 2755, 2483, 1872, 1064, 2166, 2172, 1829, 3996, 3939, 1980, 1142, 0, 830, 682, 1508, 1924, 2448, 210, 1800, 60, 270, 1538, 1404, 0, 1512, 60, 0, 40, 0, 580, 90, 710, 88, 8563, 0, 30, 0, 2556, 375, 2089, 355, 280, 4671, 162, 195, 405, 52, 0, 60, 2664, 690, 0, 790, 0, 1235, 0, 766, 150, 328, 0, 722, 432, 0, 350, 310, 290, 1757, 923, 0, 0, 0, 0, 669, 1495, 0, 883, 0, 214, 360, 777, 684, 1277, 0, 120, 120, 100, 20, 600, 0, 110, 300, 1095, 701, 126, 396, 324, 660, 0, 2342, 0, 490, 546, 1101, 910, 330, 0, 100, 1758, 525, 1203, 1441, 1676, 0, 1131, 532, 535, 1175, 175, 0, 630, 50, 400, 198, 870, 910, 968, 2718, 1944, 3316, 700, 1676, 2806, 3131, 450, 2097, 60, 1186, 3214, 0, 1386, 2083, 1598, 1526, 853, 0, 1624, 1335, 970, 724, 650, 790, 2002, 85, 308, 432, 430, 470, 860, 491, 970, 490, 111, 290, 1904, 540, 0, 620, 950, 160, 0, 276, 2432, 100, 350, 1000, 300, 274, 50, 0, 814, 351, 180, 340, 1824, 2051, 2477, 1696, 711, 1284, 1063, 515, 480, 1242, 1000, 550, 200, 2977, 549, 2632, 0, 2162, 50, 0, 105, 2902, 1963, 3026, 2636, 2477, 2484, 2595, 2285, 0, 536, 490, 0, 2844, 720, 1375, 1458, 962, 1405, 0, 0, 1765, 0, 34, 1678, 114, 50, 685, 0, 0, 918, 420, 0, 638, 0, 500, 450, 865, 0, 0, 1555, 176, 300, 100, 0, 12, 410, 1905, 2668, 751, 673, 2702, 2070, 3283, 306, 1110, 490, 1434, 0, 180, 1651, 1852, 213, 1317, 0, 1710, 0, 263, 2573, 90, 3916, 130, 468, 5096, 138, 840, 0, 230, 550, 0, 450, 274, 2923, 570, 1030, 0, 1314, 1415, 0, 948, 3318, 990, 0, 550, 50, 600, 3384, 3771, 890, 100, 0, 2399, 300, 1728, 0, 0, 0, 0, 1566, 100, 700, 40, 0, 12914, 856, 0, 400, 120, 300, 0, 1042, 1473, 730, 200, 260, 0, 0, 1379, 0, 70, 30, 1643, 1260, 1776, 1790, 1394, 1040, 1171, 0, 20, 0, 2612, 3006, 350, 2732, 800, 0, 1440, 2146, 2485, 1360, 1166, 1192, 982, 1575, 1958, 2367, 0, 1450, 2029, 1733, 816, 2782, 540, 150, 324, 2184, 680, 5664, 960, 1531, 1801, 2437, 2141, 3120, 1678, 0, 0, 1126, 1480, 48, 1915, 5118, 2125, 2364, 1180, 1947, 0, 756, 954, 630, 1054, 912, 182, 0, 2176, 1916, 5258, 500, 60, 3096, 35, 1104, 379, 92, 3030, 180, 2744, 1190, 2065, 2167, 2654, 0, 841, 424, 200, 100, 0, 765, 1529, 1059, 921, 0, 1734, 0, 700, 0, 0, 120, 0, 0, 0, 0, 0, 1271, 1122, 1402, 1066, 1396, 1335, 900, 900, 900, 794, 300, 300, 1911, 500, 907, 290, 1987, 1075, 0, 1690
#> $ tuit_grad_nres                <dbl> 16260, 17294, 11700, 21830, 26950, 27216, 9540, 20592, 11196, 18530, 14292, 17233, 11700, 23480, 31124, 17781, 17400, 18842, 9252, 9864, 9188, 15678, 13152, 7452, 16224, 11430, 17500, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 26322, 26322, 26322, 26322, 26322, 26896, 8150, 16722, 14940, 17550, 17532, 15666, 13320, 12888, 10452, 11232, 15696, 16713, 44068, 31300, 10980, 20100, 15666, 25470, 15666, 23310, 15666, 27594, 36657, 15666, 41592, 34680, 10332, 22374, 20153, 28656, 12567, 23604, 45288, 11250, 20720, 14940, 18102, 34762, 16632, 12060, 15660, 17730, 20745, 12822, 18102, 18102, 30960, 8190, 28422, 17100, 28800, 13410, 17820, 13050, 25759, 16296, 22108, 16695, 22338, 21393, 16725, 27335, 13320, 21964, 34200, 19585, 18373, 10755, 18996, 9630, 19048, 14076, 16768, 12269, 10584, 22166, 13590, 11736, 13507, 11952, 39800, 27872, 13248, 18486, 26518, 24090, 8910, 15750, 15498, 18600, 36768, 17190, 20682, 20870, 21268, 8851, 10800, 15300, 14328, 18960, 16656, 29730, 14736, 22217, 17168, 15038, 29784, 14310, 18594, 9662, 10962, 15372, 12906, 20426, 50424, 12816, 14845, 24750, 12780, 18996, 17993, 13302, 15100, 26310, 11156, 11651, 11663, 6750, 11460, 7872, 35492, 16691, 13986, 15661, 13000, 16403, 11070, 11700, 21786, 26460, 6996, 16020, 17964, 9990, 18414, 9676, 10068, 22176, 9306, 21828, 12000, 16302, 10764, 10085, 16786, 12704, 10950, 11904, 5670, 6552, 16320, 9132, 19478, 16778, 20673, 16617, 18590, 19017, 5336, 19239, 49030, 24498, 8460, 18468, 24468, 19062, 12384, 9108, 8100, 50410, 15840, 11862, 25272, 13860, 12167, 12060, 14106, 10530, 11610, 22420, 33800, 27216, 49176, 48507, 1675, 13736, 42800, 14793, 3186, 25853, 29644, 32913, 22633, 4140, 20556, 29640, 27068, 32333, 24120, 25344, 2700, 25128, 18216, 12942, 27666, 27840, 13712, 12720, 19116, 43346, 32940, 19998, 14922, 24648, 24517, 10710, 6927, 31939, 28195, 12778, 9630, 8550, 8532, 14370, 25120, 8820, 11201, 8100, 24386, 14076, 6885, 10120, 5269, 10080, 6298, 7141, 21912, 6858, 10206, 20900, 16419, 8400, 7575, 13366, 8496, 7200, 12654, 15672, 9405, 9103, 8025, 15030, 19350, 11767, 9324, 48950, 12690, 8400, 18742, 9810, 7200, 12987, 20412, 14038, 7200, 18878, 18662, 16000, 13560, 18810, 10494, 9810, 16720, 15660, 21564, 18000, 15102, 12960, 17966, 17831, 24156, 15837, 28092, 14545, 22239, 28128, 19476, 33328, 16449, 12024, 17856, 9880, 7552, 22643, 14254, 14376, 8730, 37623, 32517, 14310, 29286, 26460, 43552, 29500, 18720, 18720, 18720, 16380, 15624, 32160, 22320, 19116, 27087, 13536, 28272, 17505, 14040, 15156, 19170, 13500, 13230, 42610, 39936, 21870, 10350, 28680, 13482, 41804, 12240, 13194, 14382, 16182, 15930, 15888, 22210, 22210, 22210, 22210, 22210, 22210, 22210, 22210, 22210, 34632, 16200, 17483, 19800, 17913, 11326, 17547, 12654, 14219, 7722, 9900, 13770, 16950, 26854, 17423, 18566, 17347, 22610, 16667, 13896, 11520, 11194, 37520, 9450, 14755, 12100, 6865, 19184, 14873, 13237, 5713, 12697, 13284, 11250, 42576, 24532, 16297, 16020, 14400, 16008, 19362, 11349, 10200, 10260, 29604, 8964, 10825, 10620, 32008, 17502, 12600, 23502, 18636, 18936, 11970, 22890, 10908, 12992, 9270, 20772, 15010, 8813, 19801, 13734, 18989, 10674, 11652, 22230, 13354, 15504, 15000, 21799, 24759, 30421, 20736, 17496, 17892, 19560, 13140, 17400, 11520, 17400, 16261, 16254, 17400, 7824, 32184, 22212, 16200, 17370, 11934, 11772, 13248, 17400, 23020, 43320, 25560, 17636, 9300, 12060, 34266, 32286, 15858, 12240, 25000, 11352, 12672, 17400, 17400, 21636, 17917, 15840, 17400, 24800, 22368, 13260, 26832, 11826, 8880, 24206, 9180, 7542, 3750, 15075, 70, 18424, 7650, 27008, 24144, 27570, 6840, 14449, 22280, 20160, 8580, 22600, 5700, 18576, 22248, 9024, 11376, 18956, 17604, 22086, 24218, 29232, 14262, 20020, 23720, 6426, 6870, 19890, 11128, 28494, 12240, 10912, 15408, 30200, 11564, 10974, 16481, 15696, 13046, 13142, 17100, 15930, 13392, 10694, 20115, 14940, 5019, 12794, 15390, 12390, 35712, 25092, 20934, 12483, 15570, 40896, 10350, 12240, 14327, 11015, 10572, 15953, 15638, 21518, 24150, 12326, 12294, 26640, 20785, 8244, 12744, 11867, 10620, 5081, 6680, 22861, 18632, 17718, 22848, 16161, 13412, 14436, 17073, 38160, 24686, 12726, 13715, 29306, 10776, 26688, 8051, 8820, 15462, 16920, 25548, 20304, 25095, 22479, 25168, 13914, 25438, 16457, 18202, 25381, 13800, 19353, 24656, 27255, 19866, 11952, 14114, 23238, 10176, 12015, 10539, 10170, 16164, 10305, 4860, 19350, 7936, 16771, 16771, 23424, 16771, 16771, 12978, 2652, 2652, 2652, 28010, 10692, 11160, 15666, 11880, 15666, 6500, 28170, 15666, 9000, 17544
#> $ fee_grad_nres                 <dbl> 1236, 0, 1390, 508, 0, 1624, 840, 640, 1226, 610, 802, 1727, 410, 696, 1011, 513, 1604, 971, 1292, 1026, 1287, 500, 0, 918, 220, 710, 150, 3603, 1385, 1256, 1138, 1595, 1568, 951, 841, 1088, 1092, 988, 911, 1115, 1428, 2017, 1844, 1463, 2118, 1865, 370, 0, 300, 40, 85, 500, 1737, 180, 930, 135, 0, 80, 619, 380, 120, 0, 172, 1612, 354, 1012, 50, 1946, 0, 0, 1916, 713, 400, 2488, 1738, 0, 1774, 840, 2088, 303, 0, 184, 2510, 5654, 2270, 80, 510, 200, 720, 0, 828, 5917, 5996, 792, 50, 690, 526, 45, 0, 0, 100, 2898, 1294, 2561, 1751, 250, 2809, 200, 2795, 0, 1200, 1016, 2348, 802, 400, 0, 0, 2078, 0, 0, 450, 80, 2728, 1602, 400, 1454, 1850, 3180, 2200, 1376, 2022, 2092, 2270, 0, 2116, 1962, 0, 880, 130, 2208, 1713, 2070, 120, 0, 260, 360, 330, 2769, 250, 1900, 3080, 720, 1504, 500, 100, 848, 0, 390, 0, 0, 1981, 440, 1389, 100, 0, 100, 313, 327, 375, 450, 4059, 1782, 3558, 0, 200, 960, 0, 588, 500, 200, 595, 0, 930, 428, 0, 1075, 1501, 0, 280, 0, 240, 1884, 657, 0, 958, 406, 862, 0, 1514, 0, 0, 110, 905, 0, 300, 300, 150, 0, 19690, 2483, 1872, 1064, 2166, 2172, 1829, 13996, 3939, 1980, 1142, 0, 830, 682, 1508, 1924, 2448, 210, 1800, 60, 270, 1538, 1404, 0, 1512, 60, 0, 40, 0, 580, 90, 710, 88, 8563, 0, 30, 0, 2556, 375, 2089, 355, 280, 4671, 162, 195, 405, 52, 0, 60, 2664, 690, 0, 790, 0, 1235, 0, 766, 150, 328, 0, 722, 432, 0, 350, 310, 290, 1757, 923, 0, 0, 0, 0, 669, 1495, 0, 883, 0, 214, 360, 777, 684, 1277, 0, 120, 10473, 100, 20, 600, 0, 110, 300, 1095, 701, 126, 396, 324, 660, 0, 2342, 0, 490, 546, 1101, 910, 330, 0, 100, 1812, 525, 1203, 1441, 1676, 0, 1131, 532, 535, 1175, 175, 0, 630, 50, 400, 198, 870, 910, 968, 2718, 1944, 3316, 700, 1676, 2806, 3131, 450, 2097, 60, 1186, 3214, 0, 1386, 2083, 1598, 1526, 853, 0, 1624, 1335, 970, 724, 650, 790, 2002, 85, 308, 432, 430, 470, 860, 491, 970, 490, 111, 290, 1904, 540, 0, 620, 950, 160, 0, 276, 2432, 100, 350, 1000, 300, 274, 50, 0, 814, 351, 180, 340, 1824, 2051, 2477, 1696, 711, 1284, 1063, 515, 480, 1242, 1000, 550, 200, 2977, 549, 2632, 0, 2162, 50, 0, 105, 2902, 1963, 3026, 2636, 2477, 2484, 2595, 2285, 0, 536, 490, 0, 2844, 720, 1375, 1458, 962, 1405, 0, 0, 1765, 0, 34, 1678, 114, 50, 685, 0, 0, 918, 420, 0, 638, 0, 500, 450, 865, 0, 0, 1555, 176, 300, 100, 0, 12, 410, 1905, 2668, 751, 673, 2702, 2070, 3283, 306, 1110, 490, 1434, 0, 180, 1651, 1852, 213, 1317, 0, 1710, 0, 263, 2861, 90, 5119, 130, 468, 6875, 138, 840, 0, 230, 550, 0, 450, 274, 3825, 570, 1030, 0, 1452, 1415, 0, 948, 3318, 990, 0, 550, 50, 600, 3672, 4930, 890, 100, 0, 2615, 300, 1728, 0, 0, 0, 0, 1566, 100, 700, 40, 0, 32888, 856, 0, 400, 120, 300, 0, 1042, 1473, 730, 200, 260, 0, 0, 1379, 0, 70, 30, 1643, 1260, 1776, 2020, 1394, 1040, 1171, 0, 20, 0, 2612, 3006, 350, 3161, 800, 0, 1440, 2146, 2485, 1360, 1166, 1192, 982, 1575, 1958, 2796, 0, 1450, 2029, 1733, 816, 2782, 540, 150, 324, 2184, 680, 5664, 960, 1531, 1801, 2437, 2141, 3120, 1678, 0, 0, 1126, 1480, 48, 1915, 5666, 2125, 2364, 1180, 1947, 0, 756, 954, 630, 1054, 912, 182, 0, 2176, 1916, 5814, 500, 60, 3096, 35, 1608, 379, 92, 3030, 180, 3312, 1190, 2669, 2792, 3336, 0, 841, 424, 200, 100, 0, 765, 1529, 1059, 921, 0, 1946, 0, 700, 0, 0, 120, 0, 0, 0, 0, 0, 1271, 1122, 1402, 1066, 1396, 1335, 900, 900, 900, 794, 300, 300, 1911, 500, 907, 290, 3046, 1075, 0, 1690
#> $ books_supplies                <dbl> 1600, 1200, 1500, 1688, 1200, 1200, 1800, 1020, 1500, 1000, 1129, 1400, 1220, 1103, 800, 1000, 1715, 1046, 1137, 1410, 1200, 1200, 800, 1600, 1792, 1790, 1791, 1848, 1898, 1500, 1791, 1650, 1792, 1764, 1792, 1898, 1500, 1898, 1898, 1600, 1792, 1601, 1766, 1636, 1716, 1541, 1500, 1700, 1790, 1854, 1920, 1792, 1660, 1791, 1791, 1900, 1592, 1844, 1791, 1791, 1500, 1790, 1775, 1818, 1800, 1900, 1600, 1899, 1791, 1107, 1790, 1200, 1800, 1800, 1800, 1800, 1800, 1000, 1200, 1200, 1800, 1000, 1500, 1300, 850, 1150, 972, 1000, 800, 1200, 1000, 1400, 1300, 800, 1800, 800, 1600, 1275, 1040, 1500, 800, 1152, 1400, 1138, 1320, 1200, 1590, 1244, 1210, 1320, 2000, 930, 1200, 1500, 1030, 1250, 1720, 1200, 850, 1200, 1600, 1500, 1200, 1298, 1300, 1222, 1270, 1224, 800, 1400, 1500, 1200, 1006, 1400, 1200, 1500, 1600, 952, 1200, 1200, 1000, 1214, 1200, 1000, 1200, 1200, 1104, 150, 1000, 900, 1400, 1510, 942, 1500, 1500, 1200, 1000, 1350, 1200, 1000, 1400, 1620, 2400, 1000, 1500, 1200, 1200, 1200, 800, 1200, 1100, 840, 900, 1200, 1200, 1000, 1000, 1250, 1140, 1170, 1204, 1380, 1200, 1200, 950, 995, 950, 1280, 1200, 1560, 1200, 1000, 1080, 1500, 1080, 986, 856, 1490, 1000, 2547, 1000, 1000, 1000, 792, 1100, 1200, 1200, 1000, 1160, 1500, 1220, 1220, 1220, 1220, 1220, 1240, 1220, 1200, 1000, 1200, 1200, 800, 1600, 2200, 1400, 1200, 1220, 1250, 0, 1200, 2500, 1300, 1300, 1200, 1000, 1000, 1100, 1260, 1250, 1000, 1000, 800, 1500, 800, 1150, 1000, 1200, 1000, 800, 1000, 1200, 1280, 1000, 1200, 1200, 1240, 1000, 1368, 1100, 1000, 904, 880, 1000, 1200, 1000, 1453, 1048, 1076, 1300, 1000, 764, 1350, 1000, 800, 1196, 948, 1200, 1186, 2000, 480, 1500, 1000, 600, 1200, 1300, 1000, 1000, 1200, 1200, 1556, 1200, 1000, 2300, 1200, 1400, 1100, 1200, 1200, 3300, 1040, 1000, 1200, 1000, 1000, 1200, 1200, 400, 1800, 1485, 1200, 502, 1100, 980, 1000, 1200, 1400, 1350, 1600, 1080, 1012, 1040, 1120, 1298, 1300, 1200, 1000, 1200, 1337, 1400, 2100, 1200, 1230, 1300, 1350, 1600, 1200, 1384, 1234, 1300, 2600, 1569, 1500, 1350, 1000, 1200, 1597, 1698, 1600, 950, 1100, 1080, 1298, 1200, 1466, 1020, 1300, 1000, 1416, 1000, 1400, 910, 1364, 1364, 1364, 1200, 1500, 1012, 1000, 1500, 1300, 1300, 2000, 1200, 1000, 1524, 1470, 1200, 1185, 1589, 1070, 1104, 1000, 800, 1100, 1050, 1200, 800, 1200, 1000, 1100, 615, 1200, 1000, 1196, 900, 1037, 1600, 800, 1528, 1500, 1440, 778, 1400, 822, 700, 1600, 1280, 900, 400, 1300, 1160, 1200, 1400, 1442, 1200, 956, 1500, 1082, 1104, 1505, 1500, 1200, 1400, 1400, 2151, 1222, 1100, 1000, 800, 1000, 912, 1582, 1010, 1550, 1200, 1500, 800, 1000, 1240, 1000, 1200, 1100, 1320, 1200, 1216, 1400, 1200, 1100, 1234, 1030, 2000, 1150, 1216, 1200, 1104, 1248, 1000, 1100, 900, 1200, 1600, 1260, 1260, 1500, 714, 1000, 1218, 1200, 1425, 950, 900, 1551, 1122, 1050, 2090, 864, 999, 1144, 1500, 1200, 1200, 1000, 1020, 1000, 1000, 1000, 1700, 1400, 1200, 1066, 900, 1200, 1080, 1100, 1000, 1100, 1000, 1597, 1000, 1488, 1840, 1280, 1200, 1500, 2000, 1300, 1200, 1200, 1550, 1000, 1100, 1500, 1200, 1300, 1500, 1200, 1300, 1500, 940, 1200, 1400, 2000, 1400, 1060, 1159, 1308, 2200, 1023, 1160, 1000, 950, 1200, 1550, 1400, 1600, 1000, 1400, 1500, 1090, 1420, 1200, 1400, 1415, 1540, 1400, 1598, 1400, 2300, 2300, 1471, 1250, 1250, 1200, 1444, 1274, 868, 1260, 1200, 1400, 1400, 1000, 1064, 1210, 1200, 1300, 1200, 1000, 1456, 1550, 1300, 1350, 1000, 1200, 1300, 800, 1050, 1094, 1000, 1300, 800, 1298, 1192, 820, 1200, 1344, 1054, 1206, 662, 1200, 1216, 1292, 1050, 1000, 1524, 1200, 1050, 1650, 1000, 812, 1600, 810, 976, 1232, 1200, 1000, 1000, 1500, 1200, 1350, 1000, 1000, 1200, 1100, 990, 1771, 1000, 1200, 1000, 1000, 1500, 1210, 2804, 1294, 1000, 900, 1092, 1000, 825, 1000, 1500, 960, 825, 906, 840, 1000, 900, 625, 700, 1078, 1600, 800, 950, 800, 1008, 1000, 400, 1000, 800, 500, 370, 1200, 1700, 1700, 1700, 1220, 1400, 1800, 1764, 1600, 1339, 200, 1200, 1898, 1046, 2000
#> $ roomboard_off                 <dbl> 8830, 11682, 9600, 9603, 13050, 12898, 8000, 8980, 7284, 9850, 5815, 12080, 15060, 9216, 11300, 9262, 9406, 10332, 8910, 12634, 7054, 6756, 2500, 6915, 12494, 12370, 12492, 12507, 13780, 10900, 13770, 12588, 11360, 12888, 12492, 13882, 13884, 12910, 13882, 11358, 12492, 8606, 9814, 10667, 9008, 10131, 12268, 12400, 4968, 13293, 13200, 13500, 12638, 12492, 12492, 12298, 11104, 12916, 12492, 12492, 14330, 12492, 12492, 12050, 12492, 13882, 13990, 13882, 12492, 12240, 13882, 14348, 12492, 9693, 11205, 10400, 11788, 8910, 9693, 12021, 9694, 12265, 8520, 10503, 12436, 13860, 11986, 11468, 13850, 10462, 10750, 9698, 11884, 12068, 6000, 15698, 13040, 12500, 11440, 11400, 11608, 9764, 10826, 9636, 11364, 13610, 11837, 10680, 9910, 16740, 8544, 16490, 9934, 19125, 8776, 11530, 11680, 9700, 13997, 12326, 3500, 6500, 9354, 10622, 9684, 11750, 9030, 13486, 13640, 7672, 13150, 9800, 8032, 8540, 9258, 6849, 12478, 13030, 17362, 8974, 8280, 8354, 8350, 3858, 10010, 5850, 13387, 9546, 5500, 10868, 10882, 10260, 8082, 8000, 7000, 11500, 7500, 15300, 8565, 8980, 10776, 15489, 6588, 12660, 6111, 7750, 8600, 16699, 7200, 7206, 10186, 9211, 9580, 6000, 4000, 12947, 8000, 6812, 9920, 9696, 7170, 7010, 7400, 8900, 9060, 8356, 8588, 5440, 9470, 8120, 7970, 8392, 7710, 7590, 9610, 11169, 7662, 10881, 7025, 5955, 6296, 10252, 10575, 11820, 3600, 6750, 8400, 7713, 15772, 6516, 9074, 9073, 9074, 9073, 9072, 9714, 9073, 13844, 10164, 7200, 9980, 6500, 14200, 13114, 6000, 11240, 10255, 7870, 15430, 13966, 11876, 7500, 11352, 4630, 6012, 11660, 3500, 15130, 10200, 14870, 11330, 12200, 8000, 8450, 8881, 6380, 5150, 11897, 9200, 15050, 10310, 14500, 11890, 10000, 14882, 9730, 13410, 5400, 10464, 7346, 6324, 9514, 7400, 7780, 8810, 10107, 10872, 9784, 8064, 8706, 6252, 9185, 10040, 9270, 9134, 9561, 17358, 6600, 8500, 9894, 9610, 9377, 4120, 8230, 7700, 8700, 9010, 7686, 8460, 9356, 9000, 7374, 6100, 10002, 7394, 9812, 9418, 10000, 5900, 9488, 8350, 6290, 5104, 7998, 9000, 6521, 8558, 6400, 10125, 10640, 8508, 8288, 15596, 9516, 2050, 8826, 10350, 7164, 8648, 9774, 8354, 7110, 9190, 10558, 12200, 11700, 9514, 9708, 9990, 13500, 10894, 10575, 13000, 9882, 9475, 12446, 10973, 8967, 10964, 10300, 10849, 9600, 17934, 7500, 14350, 11942, 5670, 10800, 7496, 9108, 9472, 8944, 12800, 8224, 9720, 12196, 8000, 9892, 9600, 17010, 13900, 13713, 13713, 13713, 11570, 10000, 11924, 17315, 14400, 10230, 12970, 25000, 15010, 13250, 8096, 9436, 9900, 13380, 13000, 17578, 15558, 9300, 18312, 7222, 12500, 7000, 11463, 12356, 6500, 11740, 12450, 9750, 8090, 11241, 12900, 12982, 12000, 13390, 11600, 11948, 15217, 12865, 10036, 13260, 8380, 10760, 9241, 11495, 8070, 5400, 11600, 6244, 7153, 12218, 9823, 8744, 9636, 10635, 8624, 8208, 10700, 7300, 13404, 7000, 10100, 7292, 8264, 7856, 8136, 12342, 5500, 8882, 7446, 11000, 14298, 12102, 12000, 12680, 5795, 11250, 10720, 6176, 7760, 6300, 12454, 4150, 9000, 6360, 11706, 12268, 10200, 7514, 11508, 6450, 8538, 11376, 11730, 8990, 8136, 5400, 9772, 6378, 8840, 9814, 10280, 5544, 5112, 11338, 8930, 10528, 8650, 11874, 9807, 11822, 12200, 7556, 9699, 8998, 5100, 8912, 10000, 10524, 10784, 11042, 11146, 13328, 14367, 11760, 7200, 11990, 4000, 12000, 10062, 12044, 7500, 7100, 12690, 9268, 10000, 12858, 11230, 14536, 3150, 12880, 11000, 9400, 9212, 9504, 8080, 12336, 13093, 7090, 12860, 8190, 8618, 10460, 9000, 6700, 13650, 9586, 10450, 9990, 9050, 5905, 10897, 9144, 9892, 10540, 7928, 7464, 8630, 8008, 9711, 11330, 7508, 8700, 7690, 9980, 7952, 5090, 7880, 5000, 9153, 8246, 9100, 10238, 7996, 6610, 8750, 8500, 9400, 9310, 8216, 10576, 7204, 9114, 10692, 8500, 9532, 7780, 8973, 9704, 8720, 7996, 11067, 10794, 7550, 6910, 10332, 7590, 8012, 7960, 7872, 7355, 13750, 11112, 10090, 8720, 4000, 8700, 13694, 8868, 7260, 9710, 7466, 10368, 8410, 10070, 10190, 9496, 9970, 12000, 9558, 12974, 9081, 6885, 11000, 8582, 7448, 7500, 7880, 5960, 9936, 8000, 7904, 10576, 12920, 10000, 11382, 7965, 8000, 12186, 11700, 9334, 8046, 10120, 11118, 13430, 10864, 9990, 8720, 11280, 10726, 9648, 10941, 11158, 7800, 10330, 9100, 11499, 11356, 14625, 10524, 9585, 8426, 8340, 7850, 6517, 6718, 10280, 8370, 5664, 3750, 12160, 8510, 7538, 7600, 10030, 7350, 7600, 10320, 8000, 8000, 8000, 9460, 8936, 11104, 12826, 11448, 15450, 6000, 9672, 13882, 17654, 13128
#> $ oth_expense_off               <dbl> 3090, 4886, 1600, 3578, 4116, 5664, 4700, 3180, 2800, 5498, 5227, 4250, 4160, 4708, 5200, 5070, 5213, 4104, 5202, 4766, 5471, 2414, 2850, 6939, 4158, 4158, 4258, 2646, 2924, 2516, 2658, 2716, 2478, 2870, 2658, 2924, 2706, 2934, 2924, 2182, 2658, 5665, 5383, 5140, 5317, 5621, 4100, 4340, 4286, 4239, 4610, 4292, 2444, 4258, 4536, 5382, 3696, 4914, 4245, 4158, 2500, 4158, 4156, 3296, 4158, 2966, 3800, 2925, 4158, 3170, 2924, 1880, 4158, 2763, 5193, 4600, 2294, 1600, 1360, 2634, 3272, 6776, 10208, 3671, 2650, 1730, 2806, 2760, 2500, 3150, 2644, 3972, 2920, 1500, 1800, 921, 5500, 1900, 2660, 7700, 5783, 4970, 4458, 6313, 5718, 3000, 5354, 1626, 3750, 3524, 7272, 3062, 3834, 8010, 5678, 6170, 2552, 4100, 8448, 3000, 2400, 3630, 2100, 3860, 4500, 2500, 4460, 2416, 3260, 6044, 5303, 5654, 3952, 2890, 4994, 6195, 2245, 2899, 2220, 4030, 5921, 3840, 3440, 3520, 2240, 1700, 2364, 2067, 4000, 7000, 3628, 4230, 5538, 2000, 2504, 1600, 3250, 5940, 6261, 2100, 2584, 2532, 6489, 1000, 4479, 3900, 7700, 1450, 4120, 3106, 2941, 2768, 3570, 2800, 1600, 2550, 3200, 6512, 3082, 2308, 3798, 2692, 3000, 1620, 3790, 2430, 3420, 6434, 5924, 2872, 4880, 3470, 3836, 4422, 3070, 3190, 3860, 3122, 4252, 1906, 6341, 3581, 4769, 5432, 6150, 5500, 6700, 3307, 5420, 4635, 3918, 3919, 3992, 3919, 3916, 3971, 3919, 1060, 2200, 2700, 3000, 2600, 4150, 1600, 3706, 3100, 1044, 1670, 5850, 3932, 4045, 2300, 2700, 3290, 2000, 1800, 2400, 1200, 1700, 1950, 1500, 2800, 2700, 1050, 2422, 2200, 1922, 1400, 2956, 1800, 3402, 2550, 2000, 2072, 3075, 3300, 1200, 3200, 4400, 938, 3452, 5448, 2578, 6614, 2890, 4248, 2454, 2368, 3364, 3910, 4464, 3246, 1556, 1756, 5754, 2366, 2500, 4864, 2000, 1200, 8186, 2200, 4000, 2700, 2390, 2746, 2350, 3156, 3060, 6712, 2600, 4200, 5100, 4660, 4400, 4060, 5184, 3570, 6085, 2984, 2400, 3200, 4152, 6338, 4300, 3409, 2575, 3246, 4216, 3448, 4482, 4034, 3408, 8104, 3200, 3757, 2700, 4824, 3630, 3870, 3262, 2772, 5682, 4500, 3100, 2250, 8206, 2245, 5722, 3800, 4121, 2856, 1780, 6600, 3681, 4500, 3550, 3926, 5576, 5400, 6282, 2030, 3013, 2900, 1050, 3983, 375, 5400, 4498, 3912, 5154, 3764, 2650, 5080, 7208, 1950, 1500, 2446, 3096, 4860, 1850, 5302, 5302, 5302, 3000, 3650, 2748, 3096, 1850, 3660, 1400, 2500, 2000, 2425, 3348, 9804, 2100, 1100, 2010, 2000, 4452, 5990, 2920, 3450, 976, 3275, 1400, 2460, 4000, 1400, 2062, 2086, 2632, 3505, 5336, 3332, 2800, 1600, 2284, 3600, 1665, 4666, 2808, 2313, 3286, 4000, 3644, 2600, 2426, 2600, 2850, 2460, 4220, 3404, 3496, 2536, 4667, 2442, 4604, 3296, 2000, 3472, 2400, 2774, 2516, 2490, 3500, 3422, 3400, 3152, 3728, 5122, 4790, 4948, 1900, 5666, 3470, 1750, 1230, 3000, 3582, 3530, 2730, 3700, 2014, 4500, 1800, 5194, 2870, 2706, 1500, 5358, 1200, 4550, 2532, 2784, 2000, 3635, 3890, 2000, 8546, 5496, 4650, 4260, 5433, 3760, 6210, 4524, 2955, 2120, 2520, 2550, 2349, 1680, 3700, 1774, 3252, 2210, 3600, 3140, 1700, 4350, 2082, 3500, 3596, 1800, 4278, 2200, 1125, 2510, 1150, 4750, 1328, 2288, 1000, 2500, 1065, 5783, 1700, 2470, 4788, 2060, 2100, 1518, 6000, 1868, 3000, 3258, 3604, 5934, 2300, 1410, 2520, 2358, 3000, 2500, 3200, 2409, 1600, 3785, 2300, 3770, 3600, 2100, 3977, 3502, 4314, 4111, 4184, 3000, 3935, 5441, 4538, 4750, 3204, 2716, 6440, 3250, 5700, 6606, 5150, 6130, 4512, 4162, 3600, 5666, 5518, 3420, 6000, 3649, 8010, 3350, 3480, 4430, 3140, 3241, 4968, 3200, 2037, 3938, 5534, 6900, 6918, 4178, 5508, 3416, 4300, 2572, 3136, 3030, 1830, 4376, 3300, 2556, 2050, 2460, 4762, 3796, 3000, 2600, 4764, 3454, 3910, 4118, 4768, 5820, 4512, 4310, 4180, 4292, 4044, 4700, 4666, 4866, 4420, 3708, 4256, 4854, 4500, 4800, 3770, 3434, 3678, 5052, 4410, 2174, 2700, 2302, 2025, 3300, 1800, 4908, 4500, 4150, 6274, 770, 2892, 3734, 2975, 2600, 2980, 3120, 2754, 2000, 3180, 3330, 3960, 2703, 3000, 4170, 3542, 3561, 3495, 3180, 3400, 2620, 4065, 5332, 4790, 2800, 3310, 4896, 3520, 4840, 2500, 3150, 2700, 3306, 3300, 4830, 3040, 4800, 4800, 4800, 1780, 2236, 3816, 2668, 4401, 2925, 1000, 3400, 2924, 3282, 1800
#> $ tuitfee_grad_res              <dbl> 9366, 7588, 13090, 10342, 10470, 10696, 10380, 10576, 6824, 19140, 7948, 9821, 12110, 11506, 12383, 9407, 9284, 8350, 5918, 5958, 5881, 16178, 13152, 5940, 16444, 12140, 17650, 10341, 8123, 7994, 7876, 8333, 8306, 7689, 7579, 7826, 7830, 7726, 7649, 7853, 8166, 13237, 13064, 12683, 13338, 13085, 27266, 8150, 17022, 14980, 17635, 18032, 8475, 13500, 13818, 10587, 11232, 15776, 17332, 44448, 31420, 10980, 20272, 8350, 25824, 7750, 23360, 8684, 27594, 36657, 8654, 42305, 35080, 6898, 8452, 9983, 12610, 13407, 11716, 45591, 11250, 20904, 17450, 10956, 15996, 16712, 12570, 15860, 18450, 20745, 13650, 11219, 11298, 31752, 8240, 29112, 17626, 28845, 13410, 17820, 13150, 8872, 17590, 9876, 6657, 22588, 11097, 16925, 12737, 13320, 23164, 35216, 10367, 19175, 11155, 18996, 9630, 10428, 14076, 16768, 12719, 10664, 9062, 5004, 12136, 6966, 7556, 42980, 15652, 4706, 7209, 8728, 10762, 8910, 6490, 5958, 18600, 16168, 17320, 8440, 8502, 8530, 8971, 10800, 15560, 14688, 19290, 9705, 29980, 9268, 16343, 17888, 8970, 30284, 14410, 19442, 9662, 11352, 15372, 12906, 13839, 50864, 7797, 14945, 24750, 12880, 19309, 18320, 13677, 15550, 14583, 7954, 11325, 11663, 6950, 12420, 7872, 36080, 8997, 7328, 7243, 13000, 17333, 11498, 11700, 9549, 10357, 6996, 16300, 17964, 10230, 7806, 4055, 10068, 10438, 9712, 10532, 12000, 7732, 10764, 10085, 8360, 6078, 10950, 12204, 5970, 6702, 11400, 11887, 9076, 7575, 8298, 7852, 8662, 8369, 9332, 9450, 51010, 8666, 8460, 7670, 25150, 14648, 9106, 9540, 8310, 52210, 15900, 8514, 13256, 8478, 12167, 8370, 14166, 10530, 11650, 22420, 34380, 27306, 49886, 48595, 10238, 13736, 42830, 14793, 5742, 14679, 15613, 17218, 22913, 7191, 20718, 29835, 15399, 32385, 24120, 25404, 5364, 25818, 12232, 13732, 27666, 16355, 13712, 13486, 19266, 21794, 16764, 12022, 10391, 16338, 13219, 11020, 7217, 16503, 14235, 12778, 9630, 8550, 8532, 7854, 17735, 8820, 8256, 8100, 24600, 14436, 7662, 7404, 6546, 10080, 6418, 7261, 7744, 6878, 10806, 7780, 7659, 8700, 8670, 7384, 8622, 7596, 12978, 16332, 9405, 6893, 8025, 15520, 19896, 7408, 5554, 49280, 12690, 8500, 5893, 10335, 4803, 6090, 8810, 14038, 4731, 5500, 5287, 17175, 13735, 18810, 9738, 9860, 17120, 15858, 22434, 18910, 16070, 15678, 12140, 16472, 24856, 12140, 21814, 17676, 22689, 18633, 19536, 34514, 13900, 12024, 12384, 6017, 6016, 9306, 4941, 14376, 4650, 38958, 33487, 15034, 29936, 27250, 45554, 29585, 10438, 10562, 10560, 16850, 16484, 32651, 23290, 19606, 27198, 13826, 30176, 18045, 14040, 15776, 20120, 13660, 13230, 42886, 42368, 21970, 10700, 29680, 13782, 42078, 12290, 13194, 15196, 16533, 16110, 16228, 12694, 12921, 13347, 12566, 11581, 12154, 11933, 11385, 11350, 35874, 17200, 18033, 20000, 7721, 11875, 7288, 12654, 5533, 7772, 9900, 13875, 7447, 11606, 7278, 7753, 7124, 10572, 7043, 5924, 11520, 11730, 38010, 9450, 7192, 12820, 8240, 8643, 6532, 9136, 5713, 12697, 9397, 11250, 42610, 14468, 9679, 16070, 15085, 16008, 11090, 12267, 10620, 10260, 13528, 8964, 11325, 11070, 12425, 9510, 12600, 14721, 18812, 19236, 12070, 13474, 10920, 8902, 11175, 23440, 6794, 4572, 7735, 15804, 8169, 4770, 6426, 22720, 12196, 15504, 15180, 13801, 16243, 30634, 14565, 17496, 16002, 19560, 13403, 14165, 11610, 15508, 16391, 16722, 16688, 7962, 33024, 22212, 16430, 17920, 11934, 12222, 13522, 14515, 23590, 44350, 25560, 11420, 10715, 12060, 20912, 35604, 16848, 12240, 25550, 11402, 13272, 14976, 15363, 16676, 18017, 15840, 13991, 25100, 24096, 13260, 26832, 11826, 8880, 13362, 9280, 8242, 3790, 15075, 12984, 9682, 7650, 12798, 13440, 14612, 6840, 8558, 9773, 20890, 8780, 22860, 5700, 18576, 9371, 9024, 11446, 18986, 10463, 9234, 9876, 12834, 9896, 9420, 10371, 6426, 6890, 19890, 6395, 31500, 12590, 6300, 16208, 30200, 5059, 5776, 18966, 8434, 7768, 6990, 8938, 17505, 8006, 5717, 20115, 16390, 5878, 7183, 16206, 7144, 36252, 25242, 21258, 7323, 16250, 46560, 11310, 6427, 7968, 6109, 5369, 8904, 8819, 11300, 12418, 5623, 6376, 26688, 7101, 6718, 7525, 6886, 11800, 6349, 6680, 8036, 6277, 7822, 7527, 8589, 13594, 14436, 19249, 17012, 14258, 13226, 13775, 13724, 10811, 10752, 8430, 8912, 9618, 17100, 11480, 21494, 14532, 13143, 17680, 13914, 11794, 16881, 18402, 25481, 13800, 20118, 12753, 16266, 10503, 11952, 7504, 9000, 10876, 12015, 10539, 10290, 16164, 10305, 4860, 19350, 7936, 8911, 8762, 11789, 8706, 9036, 5673, 3552, 3552, 3552, 10002, 10992, 11460, 8649, 12380, 7645, 6790, 8961, 7813, 9000, 6834
#> $ tuitfee_grad_nres             <dbl> 17496, 17294, 13090, 22338, 26950, 28840, 10380, 21232, 12422, 19140, 15094, 18960, 12110, 24176, 32135, 18294, 19004, 19813, 10544, 10890, 10475, 16178, 13152, 8370, 16444, 12140, 17650, 19269, 17051, 16922, 16804, 17261, 17234, 16617, 16507, 16754, 16758, 16654, 16577, 16781, 17094, 28339, 28166, 27785, 28440, 28187, 27266, 8150, 17022, 14980, 17635, 18032, 17403, 13500, 13818, 10587, 11232, 15776, 17332, 44448, 31420, 10980, 20272, 17278, 25824, 16678, 23360, 17612, 27594, 36657, 17582, 42305, 35080, 12820, 24112, 20153, 30430, 13407, 25692, 45591, 11250, 20904, 17450, 23756, 37032, 16712, 12570, 15860, 18450, 20745, 13650, 24019, 24098, 31752, 8240, 29112, 17626, 28845, 13410, 17820, 13150, 28657, 17590, 24669, 18446, 22588, 24202, 16925, 30130, 13320, 23164, 35216, 21933, 19175, 11155, 18996, 9630, 21126, 14076, 16768, 12719, 10664, 24894, 15192, 12136, 14961, 13802, 42980, 30072, 14624, 20508, 28610, 26360, 8910, 17866, 17460, 18600, 37648, 17320, 22890, 22583, 23338, 8971, 10800, 15560, 14688, 19290, 19425, 29980, 16636, 25297, 17888, 16542, 30284, 14410, 19442, 9662, 11352, 15372, 12906, 22407, 50864, 14205, 14945, 24750, 12880, 19309, 18320, 13677, 15550, 30369, 12938, 15209, 11663, 6950, 12420, 7872, 36080, 17191, 14186, 16256, 13000, 17333, 11498, 11700, 22861, 27961, 6996, 16300, 17964, 10230, 20298, 10333, 10068, 23134, 9712, 22690, 12000, 17816, 10764, 10085, 16896, 13609, 10950, 12204, 5970, 6702, 16320, 28822, 21961, 18650, 21737, 18783, 20762, 20846, 19332, 23178, 51010, 25640, 8460, 19298, 25150, 20570, 14308, 11556, 8310, 52210, 15900, 12132, 26810, 15264, 12167, 13572, 14166, 10530, 11650, 22420, 34380, 27306, 49886, 48595, 10238, 13736, 42830, 14793, 5742, 26228, 31733, 33268, 22913, 8811, 20718, 29835, 27473, 32385, 24120, 25404, 5364, 25818, 18216, 13732, 27666, 29075, 13712, 13486, 19266, 43674, 32940, 20720, 15354, 24648, 24867, 11020, 7217, 33696, 29118, 12778, 9630, 8550, 8532, 15039, 26615, 8820, 12084, 8100, 24600, 14436, 7662, 10804, 6546, 10080, 6418, 17614, 22012, 6878, 10806, 20900, 16529, 8700, 8670, 14067, 8622, 7596, 12978, 16332, 9405, 11445, 8025, 15520, 19896, 12868, 10234, 49280, 12690, 8500, 20554, 10335, 8403, 14428, 22088, 14038, 8331, 19410, 19197, 17175, 13735, 18810, 11124, 9860, 17120, 15858, 22434, 18910, 16070, 15678, 19910, 21147, 24856, 17513, 30898, 17676, 22689, 30225, 19536, 34514, 19663, 12024, 19242, 11963, 9150, 24169, 15107, 14376, 10354, 38958, 33487, 15034, 29936, 27250, 45554, 29585, 19028, 19152, 19150, 16850, 16484, 32651, 23290, 19606, 27198, 13826, 30176, 18045, 14040, 15776, 20120, 13660, 13230, 42886, 42368, 21970, 10700, 29680, 13782, 42078, 12290, 13194, 15196, 16533, 16110, 16228, 24034, 24261, 24687, 23906, 22921, 23494, 23273, 22725, 22690, 35874, 17200, 18033, 20000, 20890, 11875, 20179, 12654, 16381, 7772, 9900, 13875, 19852, 28817, 20449, 21202, 19824, 25094, 19262, 16181, 11520, 11730, 38010, 9450, 17599, 12820, 8240, 20642, 15835, 14642, 5713, 12697, 15049, 11250, 42610, 26210, 16411, 16070, 15085, 16008, 19362, 12267, 10620, 10260, 30242, 8964, 11325, 11070, 32873, 17502, 12600, 25057, 18812, 19236, 12070, 22890, 10920, 13402, 11175, 23440, 15761, 9486, 22503, 15804, 22272, 10980, 12762, 22720, 14788, 15504, 15180, 23450, 26611, 30634, 22053, 17496, 19602, 19560, 13403, 20261, 11610, 22519, 16391, 16722, 24275, 7962, 33024, 22212, 16430, 17920, 11934, 12222, 13522, 21225, 23590, 44350, 25560, 19088, 10715, 12060, 35214, 35604, 16848, 12240, 25550, 11402, 13272, 21072, 22330, 22526, 18017, 15840, 20015, 25100, 24096, 13260, 26832, 11826, 8880, 25772, 9280, 8242, 3790, 15075, 32958, 19280, 7650, 27408, 24264, 27870, 6840, 15491, 23753, 20890, 8780, 22860, 5700, 18576, 23627, 9024, 11446, 18986, 19247, 23346, 25994, 31252, 15656, 21060, 24891, 6426, 6890, 19890, 13740, 31500, 12590, 14073, 16208, 30200, 13004, 13120, 18966, 17056, 14212, 14334, 18082, 17505, 15350, 13490, 20115, 16390, 7048, 14527, 16206, 15172, 36252, 25242, 21258, 14667, 16250, 46560, 11310, 13771, 16128, 13452, 12713, 19073, 17316, 21518, 24150, 13452, 13774, 26688, 22700, 13910, 14869, 14231, 11800, 7028, 6680, 23617, 19586, 18348, 23902, 17073, 13594, 14436, 19249, 40076, 30500, 13226, 13775, 32402, 10811, 28296, 8430, 8912, 18492, 17100, 28860, 21494, 27764, 25271, 28504, 13914, 26279, 16881, 18402, 25481, 13800, 20118, 26185, 28314, 20787, 11952, 16060, 23238, 10876, 12015, 10539, 10290, 16164, 10305, 4860, 19350, 7936, 18042, 17893, 24826, 17837, 18167, 14313, 3552, 3552, 3552, 28804, 10992, 11460, 17577, 12380, 16573, 6790, 31216, 16741, 9000, 19234
#> $ coa_grad_res                  <dbl> 22886, 25356, 25790, 25211, 28836, 30458, 24880, 23756, 18408, 35488, 20119, 27551, 32550, 26533, 29683, 24739, 25618, 23832, 21167, 24768, 19606, 26548, 19302, 21394, 34888, 30458, 36191, 27342, 26725, 22910, 26095, 25287, 23936, 25211, 24521, 26530, 25920, 25468, 26353, 22993, 25108, 29109, 30027, 30126, 29379, 30378, 45134, 26590, 28066, 34366, 37365, 37616, 25217, 32041, 32637, 30167, 27624, 35450, 35860, 62889, 49750, 29420, 38695, 25514, 44274, 26498, 42750, 27390, 46035, 53174, 27250, 59733, 53530, 21154, 26650, 26783, 28492, 24917, 23969, 61446, 26016, 40945, 37678, 26430, 31932, 33452, 28334, 31088, 35600, 35557, 28044, 26289, 27402, 46120, 17840, 46531, 37766, 44520, 28550, 38420, 31341, 24758, 34274, 26963, 25059, 40398, 29878, 30475, 27607, 34904, 40980, 55698, 25335, 47810, 26639, 37946, 25582, 25428, 37371, 33294, 20219, 22294, 21716, 20784, 27620, 22438, 22316, 60106, 33352, 19822, 27162, 25382, 23752, 21740, 21942, 20502, 34923, 33049, 38102, 22644, 23703, 21938, 21961, 19178, 29010, 23438, 36145, 21468, 40480, 28036, 32253, 33888, 23532, 41784, 25414, 33742, 21412, 33942, 31398, 24986, 28599, 70505, 23274, 29605, 36840, 25730, 36809, 37669, 25797, 27062, 28810, 20773, 25375, 21663, 13750, 28917, 20072, 50654, 23139, 20502, 19415, 24082, 28933, 23218, 25500, 21330, 23315, 20150, 32894, 30516, 24280, 20668, 16681, 23580, 24198, 25057, 22910, 27493, 20009, 21172, 23722, 23193, 22422, 28994, 23054, 19420, 23002, 23420, 34239, 21727, 21787, 22510, 22138, 22874, 22577, 24257, 23662, 67114, 22030, 19560, 21850, 35050, 34598, 26020, 20646, 23850, 64729, 26690, 29794, 32354, 26899, 23267, 23722, 23286, 19542, 26110, 29420, 51970, 40456, 67706, 62425, 26038, 25936, 53130, 27246, 15322, 22951, 29910, 30174, 40763, 22103, 39048, 44725, 28671, 51542, 38390, 41014, 15332, 41782, 21516, 24412, 43508, 27333, 29306, 26186, 35074, 36168, 29992, 24750, 24007, 27818, 27000, 23616, 19043, 32587, 27110, 33836, 22280, 21050, 20106, 27150, 30312, 17540, 20386, 19490, 37046, 26796, 19704, 20124, 24170, 22880, 18992, 20761, 23606, 20072, 25778, 23582, 22429, 23985, 22182, 19134, 19312, 17852, 28314, 30832, 20535, 18426, 19471, 31346, 35184, 20900, 18976, 69264, 31310, 14950, 19876, 24735, 18391, 19448, 23466, 26694, 15733, 21670, 21645, 33675, 28685, 37730, 23028, 26972, 36520, 32073, 37095, 34990, 33902, 30434, 30286, 32379, 38983, 29980, 40114, 36376, 35819, 40930, 30936, 51114, 31422, 19767, 30184, 18961, 20136, 25012, 18947, 31026, 19420, 56906, 48933, 25534, 43690, 40946, 68824, 46245, 30817, 30941, 30939, 32620, 31634, 48335, 44701, 37356, 42388, 29496, 59676, 36255, 30715, 28744, 40830, 26860, 28895, 59485, 63016, 43084, 26990, 51712, 25554, 56604, 23765, 26857, 31212, 28033, 30350, 31355, 25730, 24643, 29289, 31702, 28932, 28554, 27723, 26797, 28398, 54196, 35509, 32277, 36395, 20087, 28235, 21453, 27649, 16429, 17072, 25510, 23779, 20220, 28670, 21797, 19989, 22927, 24731, 21375, 18933, 25720, 23702, 55214, 20624, 21959, 23824, 21104, 20921, 18868, 25630, 15853, 28283, 22643, 28748, 60008, 33736, 25949, 31500, 23350, 31258, 26592, 23073, 22430, 21460, 29212, 19014, 23325, 23724, 28235, 25514, 26300, 28743, 32736, 31436, 24244, 28882, 25650, 22627, 24101, 32040, 26712, 17706, 22485, 31378, 24596, 15074, 18966, 39782, 25506, 29102, 27250, 29776, 29521, 45186, 32555, 27690, 29952, 31912, 23603, 27417, 24510, 31382, 30277, 32264, 32430, 24090, 53369, 37572, 25955, 33486, 17984, 30172, 25992, 29947, 33090, 55050, 40315, 28068, 23415, 28876, 38770, 53480, 23298, 28138, 44550, 23970, 26684, 28938, 28597, 35946, 34510, 25840, 30571, 36948, 37214, 27420, 40332, 22435, 25070, 27933, 23430, 24002, 17840, 24140, 29017, 23636, 24056, 28472, 26712, 26076, 20355, 23207, 25572, 38370, 21092, 35276, 21230, 33306, 24113, 22140, 25676, 31516, 25543, 23182, 23976, 30336, 24810, 21750, 27421, 20046, 25550, 33800, 19291, 47950, 24208, 19523, 33128, 43100, 18028, 18894, 34473, 26102, 24616, 20364, 26813, 32915, 20856, 16655, 35133, 28310, 17070, 20519, 28578, 18355, 52852, 39864, 37204, 20839, 24550, 58660, 31066, 19941, 19958, 21137, 18947, 26146, 22947, 26342, 27988, 20627, 21682, 44438, 22325, 26082, 22226, 18529, 28706, 20785, 19440, 21936, 18737, 18192, 22373, 22841, 26908, 28186, 36369, 30514, 29015, 25491, 24575, 32018, 28111, 25226, 24521, 20802, 24828, 35264, 26319, 35584, 27442, 30347, 32454, 26562, 26815, 32461, 31162, 39339, 26900, 37287, 28611, 35277, 25428, 25557, 20330, 20860, 23416, 24564, 23125, 24970, 28644, 21815, 12930, 37358, 19946, 19999, 20062, 25925, 19856, 21836, 20233, 18052, 18052, 18052, 22462, 23564, 28180, 25907, 29829, 27359, 13990, 23233, 26517, 30982, 23762
#> $ coa_grad_nres                 <dbl> 31016, 35062, 25790, 37207, 45316, 48602, 24880, 34412, 24006, 35488, 27265, 36690, 32550, 39203, 49435, 33626, 35338, 35295, 25793, 29700, 24200, 26548, 19302, 23824, 34888, 30458, 36191, 36270, 35653, 31838, 35023, 34215, 32864, 34139, 33449, 35458, 34848, 34396, 35281, 31921, 34036, 44211, 45129, 45228, 44481, 45480, 45134, 26590, 28066, 34366, 37365, 37616, 34145, 32041, 32637, 30167, 27624, 35450, 35860, 62889, 49750, 29420, 38695, 34442, 44274, 35426, 42750, 36318, 46035, 53174, 36178, 59733, 53530, 27076, 42310, 36953, 46312, 24917, 37945, 61446, 26016, 40945, 37678, 39230, 52968, 33452, 28334, 31088, 35600, 35557, 28044, 39089, 40202, 46120, 17840, 46531, 37766, 44520, 28550, 38420, 31341, 44543, 34274, 41756, 36848, 40398, 42983, 30475, 45000, 34904, 40980, 55698, 36901, 47810, 26639, 37946, 25582, 36126, 37371, 33294, 20219, 22294, 37548, 30972, 27620, 30433, 28562, 60106, 47772, 29740, 40461, 45264, 39350, 21740, 33318, 32004, 34923, 54529, 38102, 37094, 37784, 36746, 21961, 19178, 29010, 23438, 36145, 31188, 40480, 35404, 41207, 33888, 31104, 41784, 25414, 33742, 21412, 33942, 31398, 24986, 37167, 70505, 29682, 29605, 36840, 25730, 36809, 37669, 25797, 27062, 44596, 25757, 29259, 21663, 13750, 28917, 20072, 50654, 31333, 27360, 28428, 24082, 28933, 23218, 25500, 34642, 40919, 20150, 32894, 30516, 24280, 33160, 22959, 23580, 36894, 25057, 35068, 27493, 30093, 21172, 23722, 31729, 29953, 28994, 23054, 19420, 23002, 28340, 51174, 34612, 32862, 35949, 33069, 34974, 35054, 34257, 37390, 67114, 39004, 19560, 33478, 35050, 40520, 31222, 22662, 23850, 64729, 26690, 33412, 45908, 33685, 23267, 28924, 23286, 19542, 26110, 29420, 51970, 40456, 67706, 62425, 26038, 25936, 53130, 27246, 15322, 34500, 46030, 46224, 40763, 23723, 39048, 44725, 40745, 51542, 38390, 41014, 15332, 41782, 27500, 24412, 43508, 40053, 29306, 26186, 35074, 58048, 46168, 33448, 28970, 36128, 38648, 23616, 19043, 49780, 41993, 33836, 22280, 21050, 20106, 34335, 39192, 17540, 24214, 19490, 37046, 26796, 19704, 23524, 24170, 22880, 18992, 31114, 37874, 20072, 25778, 36702, 31299, 23985, 22182, 25817, 19312, 17852, 28314, 30832, 20535, 22978, 19471, 31346, 35184, 26360, 23656, 69264, 31310, 14950, 34537, 24735, 21991, 27786, 36744, 26694, 19333, 35580, 35555, 33675, 28685, 37730, 24414, 26972, 36520, 32073, 37095, 34990, 33902, 30434, 38056, 37054, 38983, 35353, 49198, 36376, 35819, 52522, 30936, 51114, 37185, 19767, 37042, 24907, 23270, 39875, 29113, 31026, 25124, 56906, 48933, 25534, 43690, 40946, 68824, 46245, 39407, 39531, 39529, 32620, 31634, 48335, 44701, 37356, 42388, 29496, 59676, 36255, 30715, 28744, 40830, 26860, 28895, 59485, 63016, 43084, 26990, 51712, 25554, 56604, 23765, 26857, 31212, 28033, 30350, 31355, 37070, 35983, 40629, 43042, 40272, 39894, 39063, 38137, 39738, 54196, 35509, 32277, 36395, 33256, 28235, 34344, 27649, 27277, 17072, 25510, 23779, 32625, 45881, 34968, 33438, 35627, 39253, 33594, 29190, 25720, 23702, 55214, 20624, 32366, 23824, 21104, 32920, 28171, 31136, 15853, 28283, 28295, 28748, 60008, 45478, 32681, 31500, 23350, 31258, 34864, 23073, 22430, 21460, 45926, 19014, 23325, 23724, 48683, 33506, 26300, 39079, 32736, 31436, 24244, 38298, 25650, 27127, 24101, 32040, 35679, 22620, 37253, 31378, 38699, 21284, 25302, 39782, 28098, 29102, 27250, 39425, 39889, 45186, 40043, 27690, 33552, 31912, 23603, 33513, 24510, 38393, 30277, 32264, 40017, 24090, 53369, 37572, 25955, 33486, 17984, 30172, 25992, 36657, 33090, 55050, 40315, 35736, 23415, 28876, 53072, 53480, 23298, 28138, 44550, 23970, 26684, 35034, 35564, 41796, 34510, 25840, 36595, 36948, 37214, 27420, 40332, 22435, 25070, 40343, 23430, 24002, 17840, 24140, 48991, 33234, 24056, 43082, 37536, 39334, 20355, 30140, 39552, 38370, 21092, 35276, 21230, 33306, 38369, 22140, 25676, 31516, 34327, 37294, 40094, 48754, 30570, 33390, 41941, 20046, 25550, 33800, 26636, 47950, 24208, 27296, 33128, 43100, 25973, 26238, 34473, 34724, 31060, 27708, 35957, 32915, 28200, 24428, 35133, 28310, 18240, 27863, 28578, 26383, 52852, 39864, 37204, 28183, 24550, 58660, 31066, 27285, 28118, 28480, 26291, 36315, 31444, 36560, 39720, 28456, 29080, 44438, 37924, 33274, 29570, 25874, 28706, 21464, 19440, 37517, 32046, 28718, 38748, 31325, 26908, 28186, 36369, 53578, 45257, 25491, 24575, 50696, 28111, 42770, 24521, 20802, 33702, 35264, 43699, 35584, 40674, 42475, 43278, 26562, 41300, 32461, 31162, 39339, 26900, 37287, 42043, 47325, 35712, 25557, 28886, 35098, 23416, 24564, 23125, 24970, 28644, 21815, 12930, 37358, 19946, 29130, 29193, 38962, 28987, 30967, 28873, 18052, 18052, 18052, 41264, 23564, 28180, 34835, 29829, 36287, 13990, 45488, 35445, 30982, 36162


##########
########## RUN SCRIPT THAT CREATES USER DEFINED FUNCTIONS
##########

source(file = url('https://github.com/anyone-can-cook/educ152/raw/main/scripts/user_defined_functions/create_inference_functions.R'))
  
  

1.2 Example research question

1.2.1 Cost of attendance (X) and student debt (Y), MA in social work

Data

• We will use the data frame df_socialwork, which includes debt/earnings data from College Scorecard and tuition/cost of attendance data from IPEDS
• each observation \(i\) represents a postsecondary institution, so this is “institution level” data (or you could say university level data)
• sample includes public and private non-profit universities that:
  • 1. offer an MA in social work
  • 2. we know institution-level (average) student debt accrued from MA programs in social work
• Population our sample is meant to represent
  • Our population of interest is all public and private non-profit universities that offer an MA in social work
  • Pretend our sample is a random sample from this population
  • (In reality, our sample is not a random sample because our sample consists of universities with social work MA programs with large enough enrollment that College Scorecard did not suppress student debt data because of privacy concerns)

Variables of interest

• \(X\) (independent variable) = coa_grad_res = annual full-time graduate resident cost of attendance (tuition+fees+books+living expenses)
  • note. at private institutions, tuition price does not differ for state residents vs. nonresidents
• \(Y\) (dependent variable) = debt_all_stgp_eval_mean = institution-level student debt from federal Direct Loans and Grad Plus loans
  • This is the average (mean) student debt from students who completed an MA program in social work at that institution
  • note. In the lecture, I call this variable “institution-level student debt” rather than “average student debt” or “mean student debt” because the latter two names will be confusing when we calculate the mean of this variable and when apply concepts like sampling distribution to this variable

Research question (RQ) of interest

• What is the effect of (annual) cost of attendance for MA in social work programs (\(X\)) on institution-level student debt (\(Y\)) for graduates of MA programs in social work?
  • think of it as, what is the causal effect of an increase in cost of attendance on the amount of student debt typically accrued by students who graduate from MA in social work programs
  • We are answering this question using institution-level data, but if we had access to student-level data, we would answer this question using student-level data

Some descriptive statistics about our variables of interest and other interesting variables

• show variable labels for variables
• show mean values

# show labels for variables
  df_socialwork %>% select(tuitfee_grad_res,tuit_grad_nres,coa_grad_res,coa_grad_nres,debt_all_stgp_eval_mean,debt_all_stgp_eval_mdn,debt_all_stgp_eval_mdn10yrpay,earn_mdn_hi_2yr) %>% var_label()
#> $tuitfee_grad_res
#> [1] "graduate, full-time, resident; avg tuition + required fees"
#> 
#> $tuit_grad_nres
#> [1] "Out-of-state average tuition full-time graduates"
#> 
#> $coa_grad_res
#> [1] "graduate, full-time, state resident COA; == tuition + fees + (ug) books/supplies + (ug) off-campus room and board + (ug) off-campus other expenses"
#> 
#> $coa_grad_nres
#> [1] "graduate, full-time, non-resident COA; == tuition + fees + (ug) books/supplies + (ug) off-campus room and board + (ug) off-campus other expenses"
#> 
#> $debt_all_stgp_eval_mean
#> [1] "Average Stafford and Grad PLUS loan debt disbursed at this institution"
#> 
#> $debt_all_stgp_eval_mdn
#> [1] "Median Stafford and Grad PLUS loan debt disbursed at this institution"
#> 
#> $debt_all_stgp_eval_mdn10yrpay
#> [1] "Median estimated monthly payment for Stafford and Grad PLUS loan debt disbursed at this institution"
#> 
#> $earn_mdn_hi_2yr
#> [1] "Median earnings of graduates working and not enrolled 2 years after completing highest credential"

# mean values for interesting variables
  df_socialwork %>% 
    summarize(
      n = n(),
      tuitfee_grad_res = mean(tuitfee_grad_res, na.rm = TRUE),
      tuitfee_grad_nres = mean(tuitfee_grad_nres, na.rm = TRUE),
      coa_grad_res = mean(coa_grad_res, na.rm = TRUE),
      coa_grad_nres = mean(coa_grad_nres, na.rm = TRUE),
      debt = mean(debt_all_stgp_eval_mean, na.rm = TRUE),  # institution-level mean debt
      debt_mdn = mean(debt_all_stgp_eval_mdn, na.rm = TRUE), # institution-level median debt
      debt_per_mth = mean(debt_all_stgp_eval_mdn10yrpay, na.rm = TRUE),
      earn_2yr = mean(earn_mdn_hi_2yr, na.rm = TRUE),
    ) 
#> # A tibble: 1 x 9
#>       n tuitfee_grad_res tuitfee_grad_nres coa_grad_res coa_grad_nres   debt debt_mdn debt_per_mth earn_2yr
#>   <int>            <dbl>             <dbl>        <dbl>         <dbl>  <dbl>    <dbl>        <dbl>    <dbl>
#> 1   253           13117.            20728.       28532.        36143. 41084.   39409.         405.   45406.

# mean values separately by public vs. private
  df_socialwork %>% group_by(control) %>%
    summarize(
      n = n(),
      tuitfee_grad_res = mean(tuitfee_grad_res, na.rm = TRUE),
      tuitfee_grad_nres = mean(tuitfee_grad_nres, na.rm = TRUE),
      coa_grad_res = mean(coa_grad_res, na.rm = TRUE),
      coa_grad_nres = mean(coa_grad_nres, na.rm = TRUE),
      debt = mean(debt_all_stgp_eval_mean, na.rm = TRUE),  # institution-level mean debt
      debt_mdn = mean(debt_all_stgp_eval_mdn, na.rm = TRUE), # institution-level median debt
      debt_per_mth = mean(debt_all_stgp_eval_mdn10yrpay, na.rm = TRUE),
      earn_2yr = mean(earn_mdn_hi_2yr, na.rm = TRUE),
    ) 
#> # A tibble: 2 x 10
#>                      control     n tuitfee_grad_res tuitfee_grad_nres coa_grad_res coa_grad_nres   debt debt_mdn debt_per_mth earn_2yr
#>                    <dbl+lbl> <int>            <dbl>             <dbl>        <dbl>         <dbl>  <dbl>    <dbl>        <dbl>    <dbl>
#> 1 1 [Public]                   186            9887.            20240.       25109.        35461. 37018.   35365.         363.   45679.
#> 2 2 [Private not-for-profit]    67           22083.            22083.       38034.        38034. 52372.   50658.         520.   44599.

• show sample sizes

# sample sizes for interesting variables
  df_socialwork %>% 
    summarize(
      n = n(),
      tuitfee_grad_res_n = sum(!is.na(tuitfee_grad_res)),
      tuitfee_grad_nres_n = sum(!is.na(tuitfee_grad_nres)),
      coa_grad_res_n = sum(!is.na(coa_grad_res)),
      coa_grad_nres_n = sum(!is.na(coa_grad_nres)),
      debt_n = sum(!is.na(debt_all_stgp_eval_mean)),  # institution-level mean debt
      debt_mdn_n = sum(!is.na(debt_all_stgp_eval_mean)), # institution-level median debt
      debt_mth_n = sum(!is.na(debt_all_stgp_eval_mdn10yrpay)),
      earn_2yr_n = sum(!is.na(earn_mdn_hi_2yr)),
    )  
#> # A tibble: 1 x 9
#>       n tuitfee_grad_res_n tuitfee_grad_nres_n coa_grad_res_n coa_grad_nres_n debt_n debt_mdn_n debt_mth_n earn_2yr_n
#>   <int>              <int>               <int>          <int>           <int>  <int>      <int>      <int>      <int>
#> 1   253                253                 253            253             253    253        253        242        233

  # separately bt public vs. private
  df_socialwork %>% group_by(control) %>%
    summarize(
      n = n(),
      tuitfee_grad_res_n = sum(!is.na(tuitfee_grad_res)),
      tuitfee_grad_nres_n = sum(!is.na(tuitfee_grad_nres)),
      coa_grad_res_n = sum(!is.na(coa_grad_res)),
      coa_grad_nres_n = sum(!is.na(coa_grad_nres)),
      debt_n = sum(!is.na(debt_all_stgp_eval_mean)),  # institution-level mean debt
      debt_mdn_n = sum(!is.na(debt_all_stgp_eval_mean)), # institution-level median debt
      debt_mth_n = sum(!is.na(debt_all_stgp_eval_mdn10yrpay)),
      earn_2yr_n = sum(!is.na(earn_mdn_hi_2yr)),
    )
#> # A tibble: 2 x 10
#>                      control     n tuitfee_grad_res_n tuitfee_grad_nres_n coa_grad_res_n coa_grad_nres_n debt_n debt_mdn_n debt_mth_n earn_2yr_n
#>                    <dbl+lbl> <int>              <int>               <int>          <int>           <int>  <int>      <int>      <int>      <int>
#> 1 1 [Public]                   186                186                 186            186             186    186        186        178        174
#> 2 2 [Private not-for-profit]    67                 67                  67             67              67     67         67         64         59

List of individual observations (each observation is a university)

#df_socialwork %>% glimpse()
df_socialwork %>% select(instnm,control,coa_grad_res,debt_all_stgp_eval_mean,debt_all_stgp_eval_mdn10yrpay,earn_mdn_hi_2yr) %>% var_label()
#> $instnm
#> [1] "Institution name"
#> 
#> $control
#> [1] "Control of institution"
#> 
#> $coa_grad_res
#> [1] "graduate, full-time, state resident COA; == tuition + fees + (ug) books/supplies + (ug) off-campus room and board + (ug) off-campus other expenses"
#> 
#> $debt_all_stgp_eval_mean
#> [1] "Average Stafford and Grad PLUS loan debt disbursed at this institution"
#> 
#> $debt_all_stgp_eval_mdn10yrpay
#> [1] "Median estimated monthly payment for Stafford and Grad PLUS loan debt disbursed at this institution"
#> 
#> $earn_mdn_hi_2yr
#> [1] "Median earnings of graduates working and not enrolled 2 years after completing highest credential"
df_socialwork %>% select(instnm,control,coa_grad_res,debt_all_stgp_eval_mean,debt_all_stgp_eval_mdn10yrpay,earn_mdn_hi_2yr)
#> # A tibble: 253 x 6
#>    instnm                                                   control coa_grad_res debt_all_stgp_eval_mean debt_all_stgp_eval_mdn10yrpay earn_mdn_hi_2yr
#>    <chr>                                                  <dbl+lbl>        <dbl>                   <dbl>                         <dbl>           <dbl>
#>  1 Alabama A & M University              1 [Public]                        22886                   51788                           518           37819
#>  2 Alabama State University              1 [Public]                        21606                   38001                           421              NA
#>  3 The University of Alabama             1 [Public]                        28836                   32830                           316           38981
#>  4 Samford University                    2 [Private not-for-profit]        35488                   49278                            NA              NA
#>  5 Troy University                       1 [Public]                        20119                   30072                           238           38289
#>  6 University of Alaska Anchorage        1 [Public]                        32096                   30364                           275           51750
#>  7 Arizona State University-Tempe        1 [Public]                        26533                   45258                           421           46118
#>  8 University of Arkansas at Little Rock 1 [Public]                        25618                   41114                           443           47877
#>  9 University of Arkansas                1 [Public]                        23832                   27713                           277           44595
#> 10 Arkansas State University-Main Campus 1 [Public]                        21167                   30749                           278           45383
#> # ... with 243 more rows

2 Review: scatterplot, covariance, correlation

Relationships between two continuous variables

Postive relationship, negative relationship, and no relationships

Relationship between X and Y is positive

• when X is “high”, Y tend to be “high”
• when X is “low”, Y tends to be “low”
• e.g., number of hours (X) studying and GPA (Y)
• e.g., cost of attendance (X) and student debt (Y)

Relationship between X and Y is negative

• when X is “high”, Y tend to be “low”
• when X is “low”, Y tends to be “high”
• e.g., number of school absences and GPA

No relationship between X and Y

• knowing the value of X gives you does not tell you much about the value of Y

• e.g., amount of ice cream consumed and GPA

  (defined as “research” or “master’s” universities by the Carnegie Classification that are

we will use the data frame df_socialwork (which combines debt/earnings data from College Scorecard and tuition/cost of attendance data from IPEDS) to run regression models of the relationship between measures of tuition/COA (X variable) and debt/earnings (Y variable) for MA programs in social work

Ways to investigate this relationship between X and Y:

• Graphically: scatterplots
• Numerically: covariance (less used), correlation

2.1 Scatterplots

Scatterplots will plot individual observations on an X and Y axis

Draw scatterplot of X (coa_grad_res) and Y (debt_all_stgp_eval_mean)

df_socialwork %>%  ggplot(aes(x=coa_grad_res, y=debt_all_stgp_eval_mean)) + geom_point()

Create scatterplot with “prediction” line

df_socialwork %>%  ggplot(aes(x=coa_grad_res, y=debt_all_stgp_eval_mean)) + geom_point() + stat_smooth(method = 'lm')

• Residual
  • Difference between actual observed value of Y and predicted value of Y (given X)
  • predicted value of Y for a given value of X is represented by the “prediction line” above

2.2 Covariance

Covariance measures the extent to which two variables move together….

• If debt is “high” when cost of attendance is “high”, then covariance is positive
  • (“high” means a value that is higher than the mean value for the variable)
• If debt is “low” when cost of attendance is “high”, then covariance is negative
  • (low" means a value that is lower than the mean value for the variable)

Population covariance, denoted \(cov(X, Y)\) or \(\sigma_{XY}\)

• As with all population parameters, we don’t know this!

Sample covariance, \(s_{XY}\) or \(\hat{\sigma}_{XY}\)

• Estimator of population covariance

• \(s_{XY}= \hat{\sigma}_{XY}=\frac{\sum_{i=1}^{n}\left(X_{i}-\bar{X} \right) \left( Y_{i}-\bar{Y} \right)}{n-1}\)

Example: Imagine we have 20 obs; \(\bar{X}=40; \bar{Y}=30\)

Observation 1: \(X_1=50; Y_1=60\)

• \((X_{i}-\bar{X})( Y_{i}-\bar{Y})=(50-40)(60-30)=10*30=300\)
• \(X_i > \bar{X}\) and \(Y_i > \bar{Y}\); so \((X_{i}-\bar{X})( Y_{i}-\bar{Y})\) is positive

Observation 2: \(X_1=45; Y_1=25\)

• \((X_{i}-\bar{X})( Y_{i}-\bar{Y})=(45-40)(25-30)=5*-5=-25\)
• \(X_i > \bar{X}\) and \(Y_i < \bar{Y}\); so \((X_{i}-\bar{X})( Y_{i}-\bar{Y})\) is positive

\(\hat{\sigma}_{XY}=s_{XY}\) is the sum of these 20 calculations divided by 19 (n-1)

\(\hat{\sigma}_{XY}=s_{XY}\) is positive when X and Y move in the same direction

• \(X_i > \bar{X}\) usually coupled with \(Y_i > \bar{Y}\)
• \(X_i < \bar{X}\) usually coupled with \(Y_i < \bar{Y}\)

\(\hat{\sigma}_{XY}=s_{XY}\) is negative when X and Y move in the same direction

• \(X_i > \bar{X}\) usually coupled with \(Y_i < \bar{Y}\)
• \(X_i < \bar{X}\) usually coupled with \(Y_i > \bar{Y}\)

cov(df_socialwork$coa_grad_res, df_socialwork$debt_all_stgp_eval_mean, use = 'complete.obs') # positive covariance
#> [1] 92908531

2.3 Correlation

Problem with sample covariance, \(s_{XY}\)

• The value of covariance dependes on the units of measurement of the underlying variable
• We can’t compare the covaraince of X and Y vs covariance of X and Z

which covariance is larger?

• covariance between cost of attendance and debt? or covariance between between cost of attendance and earnings
• not clear!

cov(df_socialwork$coa_grad_res, df_socialwork$debt_all_stgp_eval_mean, use = 'complete.obs')
#> [1] 92908531
cov(df_socialwork$coa_grad_res, df_socialwork$earn_mdn_hi_2yr, use = 'complete.obs')
#> [1] 8431467

Sample Correlation of Z and Y, \(r_{XY}\)

• Unitless measure of relationship between X and Y
• Equals sample covariance, \(s_{XY}\), divided by the product of their individual sample standard deviations

Sample Correlation Formula \(r_{XY}=\frac{s_{XY}}{s_X*s_Y} = \frac{\hat{\sigma}_{XY}}{\hat{\sigma}_X \hat{\sigma}_Y}\)

Sample Correlation

\(r_{XY}=\frac{s_{XY}}{s_X*s_Y} = \frac{\hat{\sigma}_{XY}}{\hat{\sigma}_X \hat{\sigma}_Y}\)

Correlations result in measures between -1 and 1

“Type” of relationship

• \(r_{XY}\) = 0 means there is no relationship between X and Y
• \(r_{XY}\) > 0 means a positive correlation between X and Y
  • in other words, the variables move together
• \(r_{XY}\) < 0 means a negative correlation
  • in other words, the variables move in opposite directions

“Strength” of relationship

• \(r_{XY}\) = |0.1| to |0.3| = weak relationship
• \(r_{XY}\) = |0.3| to |0.6| = moderate relationship
• \(r_{XY}\) = |0.6| to |1| = strong relationship

Calculate correlations in R…

• correlation between cost of attendance and debt is stronger than correlation between cost of attendance and earnings

cor(df_socialwork$coa_grad_res, df_socialwork$debt_all_stgp_eval_mean, use = 'complete.obs')
#> [1] 0.7097568
cor(df_socialwork$coa_grad_res, df_socialwork$earn_mdn_hi_2yr, use = 'complete.obs')
#> [1] 0.1360663

2.4 Linear vs Non-Linear Relationships

Problem with covariance and correlation:

• Both measure linear relationships, defined as relationships between two variables that are captured by a straight line;
• These measures do not detect non-linear relationships, defined as relationships between two variables that are not captured by a straight line

Below, scatterplot of relationship between cost of attendance (X) and debt (Y) with a linear prediction line fitted

• this is the relationship captureD by covariance and correlation

df_socialwork %>%  ggplot(aes(x=coa_grad_res, y=debt_all_stgp_eval_mean)) + geom_point() + stat_smooth(method = 'lm', formula = y ~ x + I(x^2), size = 1)

Scatterplot of relationship between cost of attendance (X) and debt (Y) with a prediction line that includes X1= cost of attendance and X2 = cost of attendance squared

df_socialwork %>%  ggplot(aes(x=coa_grad_res, y=earn_mdn_hi_2yr)) + geom_point() + stat_smooth(method = 'lm', formula = y ~ x + I(x^2), size = 1)

3 Population linear regression model

3.1 Purpose of Regression

• Regression analysis is a statistical method that helps us analyze and understand the relationship between 2+ variables

• What is the purpose of regression in descriptive research (sometimes called “observational studies” or “predictive” studies)?

  • To understand relationship(s) between one dependent variable (Y) to one or more indepedent variable (X, Z, etc.)
  • Not concerned with “direction” or “cause”: Does X cause Y? Does Y cause X?
  • Interested in “prediction”
  • Example: predict poverty status based on having a cell phone

• What is the purpose of regression in econometrics research (sometimes called “causal studies”)?

  • To estimate the causal effect of an independent variable (X) on a dependent variable (Y)
  • Very concerned with “direction” or “cause”: Does X cause Y?
    
  • Interested in recreating experimental conditions or what would have happened under a randomized control trial
  • Example: What is the effect of class size on student learning?

• Most of my research is descriptive; but I teach this class in a “causal” way… why?
  • One type of research is not better than the other; it’s just really important to understand the difference. Ex: Lack of a cell phone doesn’t cause poverty!
  • Causal research forces you to be very purposeful about your models!
  • Policy makers/decision makers don’t just care if there is a relationship between class size and student learning; they want to know if we decrease class size by two students what is the causal effect on student achievement

Regression: Models, Variables, Relationships

• Linear Regression Model vs Non-Linear Regression Models
  • Linear regression model (general linear model)
    • the dependent variable is continuous
    • e.g., GPA, test scores, income
    • the focus of this class!
  • Non-linear regression models (logit, ordinal, probit, poisson, negative binomial)
    • the dependent variable is non-continuous (i.e., categorical, binary, counts)
    • e.g., persistence, likert scales, type of major

• Bivariate vs Multivariate Regression

  • Bivariate regression (sometimes also called univariate, simple regression)

    • One dependent variable (Y) and one independent variable of interest (\(X_1\))

  • Multivariate regression (for econometrics/causal inference)

    • One dependent variable (Y) and one independent variable of interest (\(X_1\)); and multiple control variables (\(X_2\),\(X_3\),\(X_4\),etc.)

• Linear Relationship vs Non-Linear Relationship between X and Y
  • We will focus on modeling linear relationship between X and Y
  • we will cover non-linear relationships at end of quarter if we have time

3.2 Population Linear Regression Model

Population Linear Regression Model

• \(Y_i = \beta_0 + \beta_1X_i + u_i\)

Where:

• subscript \(i\) refers to “units”; in our example, each unit \(i\) is a university
• \(Y_i\) = depenent variable of interest for unit \(i\); institution-level student debt at university i
• \(X_i\) = independent variable for unit \(i\); cost of attendance at university i
• \(\beta_0\) (“population intercept”) = represents average value of \(Y\) (institution-level student debt) at a university with X=0 (cost of attendance = 0)
• \(\beta_1\) (“population regression coefficient”) = average effect of a one-unit increase in X on the value of Y
• \(u_1\) (“error term” or “residual”)
  • as “residual”, difference between predicted value and observed value
  • as “error term”, all other variables not included in your model that affect the value of Y

Draw Picture

df_socialwork %>%  ggplot(aes(x=coa_grad_res, y=debt_all_stgp_eval_mean)) + geom_point() + stat_smooth(method = 'lm')

Population Linear Regression Model

\(Y_i = \beta_0 + \beta_1X_i + u_i\)

Called the “population” linear regression model because the model uses population parameters (which we usually do not know)

In particular, above model contains two population parameters

• \(\beta_0\) (“population intercept”) = average value of \(Y\) when \(X=0\)
• \(\beta_1\) (“population regression coefficient”) = average effect of a one-unit increase in X on the value of Y

• How do we know these are population parameters?
  • because they use greek letters without a “hat” symbol
• Do we usually know the value of \(\beta_0\) or \(\beta_1\)?
  • no. we estimate these population parameters using data from a sample

3.2.1 Population regression coefficient, \(\beta_1\)

When using regression to estimate causal relationship between \(X\) and \(Y\), the primary thing we are interested in estimating is \(\beta_1\), which can be thought of the “slope” of the relationship between X and Y

“Slope” Measures relationship between X and Y

• Research Question
  • What is the effect of cost of attendance (X) on institution-level student debt (Y)
• What do we want to measure?
  • The relationship between cost of attendance (X) and institution-level student debt (Y)
  • If we increase the number of cost of attendance per week by $1,000, how much do we expect institution-level student debt to change?
• We want to measure \(\beta\)
  • \(\beta = \frac{(Y_2 - Y_1)}{(X_2 - X_1)} = \frac{\Delta Y}{\Delta X}\)
  • In other words, the slope of the relationship between X and Y
  • Under the assumption of a linear relationship

What is the population regression coefficient, \(\beta_1\)?

• \(\beta_1\) measures the average change in Y for a one-unit increase in X

• In the below graph, think of \(\beta_1\) as measuring the slope of the “prediction line”

• \(\beta_1 = \frac{\Delta Y}{\Delta X} = \frac{\Delta student\_debt}{\Delta cost\_of\_attendance}\)

• Hypothetical Example:

  • \(\beta_1\) = \(\frac{\$1,500 \Delta student\_debt}{\$1,000 \Delta cost\_of\_attendance}\) = 1.5

df_socialwork %>%  ggplot(aes(x=coa_grad_res, y=debt_all_stgp_eval_mean)) + geom_point() + stat_smooth(method = 'lm')

Interpretation of \(\beta_1\) (we will use this all semester!)

• General interpretation \(\beta_1\):
  • On average, a one-unit increase in X is associated with a \(\beta_1\) increase (or decrease) in the value of Y
  • (note. this works if \(X\) is a continuous variable and if \(X\) is dichotomous (2-category) variable like treatment vs. control)
• Interpretation from example above \(\beta_1=1.5\):
  • On average, a $1 increase in cost of attendance (X) is associated with a $1.5 increase in institution-level student debt (Y)

Some important things to remember:

• If \(\beta_1\) (i.e., the relationship between X and Y) is linear, then the average change in Y for a one-unit increase in X is the same no matter the starting value of X

  • Like plot example from earlier

• \(\beta_1\) measures the average effect on Y for a one-unit increase in X; this effect on an individual observation may be different than this average effect!

• \(\beta_1\) is a population parameter. We hardly ever know population parameters. So we estimate \(\beta_1\) using sample data!

3.2.2 Population Intercept, \(\beta_0\)

Population linear regression model

• \(Y_i = \beta_0 + \beta_1X_i + u_i\)

\(\beta_0\) is the “population intercept”

• \(\beta_0\) = the average value of Y when X=0
• Here, \(\beta_0\), is the average value of institution-level student debt at a university where cost of attendance equals $0 (X=0)
• Usually, we are not substantively interested in \(\beta_0\), but we need the intercept to draw a regression line
• Sometimes \(\beta_0\) is non-sensical or there’s too few observations at X=0 to calculate a precise estimate
  • for our research question and data, there are no universities where grad school cost of attendance is zero, so we can’t really make any predictions (based on real data) about what institution-level student debt would be if cost of attendance is zero

In the below graph, the line represents the “prediction line” and the population intercept \(\beta_0\) is where the prediction line would cross the Y-intercept

• note: not to scale

df_socialwork %>%  ggplot(aes(x=coa_grad_res, y=debt_all_stgp_eval_mean)) + geom_point() + stat_smooth(method = 'lm')

3.2.3 Population Linear Regression Line

Population Linear Regression Model

• \(Y_i = \beta_0 + \beta_1X_i + u_i\)

We sometimes deconstruct the Population Linear Regression Model into two parts:

1. Population Linear Regression LINE: \(Y_i = \beta_0 + \beta_1X_i\)
   • sometimes called population linear regression function
2. Population “Error” or “Residual” Term: \(u_i\)

• Population regression line: just a linear prediction line, like the one in the scatterplot if the scatterplot contained all observation in the population

• Population regression line measures the “average” or “expected” relationship between X and Y, ignoring variables that we excluded from the model (i.e., \(u_i\))

df_socialwork %>%  ggplot(aes(x=coa_grad_res, y=debt_all_stgp_eval_mean)) + geom_point() + stat_smooth(method = 'lm')

Population regression line and Expected Value, E(Y)

• Expected value of Y (one variable)
  • \(E(Y) = \mu_Y\)
  • in words: expected value of variable \(Y\) equals the population mean value of variable \(Y\)

• Expected value of Y, given the value of X (conditional expectation; relationship between two variables)
  • \(E(Y|X) = \beta_0 + \beta_1X_i\)
  • the population regression line is expected value of Y for a given value of X

• Population regression line and prediction
  • If we know value of parameters, \(\beta_0\) and \(\beta_1\), we can predict value of Y
  • Example: imagine \(\beta_0=\$10,000\) and \(\beta_1=\$1.5\)
  • 1. Predict the value of Y (institution-level student debt) for university where cost of attendance is $20K
    • \(E(Y|X) = \beta_0 + \beta_1X_i= 10,000 + 1.5 \times 20,000= 40,000\)
  • 2. Predict the value of Y (institution-level student debt) for university where cost of attendance is $40K
    • \(E(Y|X) = \beta_0 + \beta_1X_i= 10,000 + 1.5 \times 40,000= 40,000 = 70,000\)

3.2.4 \(u_i\)

\(u_i\) as “Error Term” or “unobserved variables”

• Population linear regression model
  • \(Y_i = \beta_0 + \beta_1X_i + u_i\)
  • Y= institution-level student debt; \(X_i\)= cost of attendance

• In causal inference research:
  • Error term \(u_i\) represents (consists of) all other variables besides X that are not included in your model that affect the dependent variable
  • In other words, the error term consists of all other factors (i.e., variables), aside from \(X\)= cost of attendance, responsible for the difference between the actual institution-level student debt at university \(i\) and the value for university \(i\) that is predicted by the regression line
  • This interpretation will become super important down the road!

• Example of Y= institution-level student debt; \(X_i\)= cost of attendance; the error term \(u_i\) would consist of other factors besides cost of attendance that have an effect on institution-level student debt
  • cost of healthcare; whether students can rely on parents to pay for graduate school; how much grant aid students are awarded

• In other social science based statistics classes (outside of the discipline of economics)
  • Interpret the \(u_i\) as the overall error in the prediction of Y due to random variation

Thinking about \(u_i\) as “Residual”

• Population linear regression model
  • \(Y_i = \beta_0 + \beta_1X_i + u_i\)
  • Y= institution-level student debt; \(X_i\)= cost of attendance

• \(u_i\) as the residual
  • Population regression line represents the predicted value \(\hat{Y}\) of the outcome (institution-level student debt) for each value of X (cost of attendance)
  • Residual = the predicted value of Y (for a given value of X) minus the observed value of Y

• Easier to conceptually think about \(u_i\) in terms of each observation, i

  • \(Y_i\) = actual value of institution-level student debt for person i
  • \(\hat{Y}_i = \beta_0 + \beta_1X_i\) = Population Regression line
    • The predicted value of institution-level student debt for university i with cost of attendance = \(X_i\)
  • Residual, \(u_i\)
    • The difference between actual value, \(Y_i\), and predicted value from the population regression line for observation i
    • \(u_i = Y_i - (\beta_0 + \beta_1X_i) = Y_i - \hat{Y}_i\)
    • \(u_i = Y_i - \hat{Y}_i\)

4 Regression in R

Conceptually, the next step in learning about regression is understanding how we choose estimates of \(\beta_0\) and \(\beta_1\) using sample data? This step is called “estimation”

Before providing a conceptual explanation of estimation, we will teach you about running regression in R. Then, we’ll use output from these regression models to aid our conceptual explanation of estimation

4.1 run models using lm()

We use the lm() function to run linear regression models

lm() function

• Description
  • “lm is used to fit linear models”
• syntax (including default values)
  • lm(formula, data, subset, weights, na.action, method = "qr", model = TRUE, x = FALSE, y = FALSE, qr = TRUE, singular.ok = TRUE, contrasts = NULL, offset, ...)
• selected arguments
  • formula: “an object of class ‘formula’” that provides “a symbolic description of the model to be fitted.”
    • follows form formula = y_var ~ x_var1 + x_var2+ x_var3
    • where y_var is the outcome variable and x_vars are independent variables
  • data: data frame that contains variables named in formula
  • subset: “an optional vector specifying a subset of observations to be used in the fitting process.”
  • na.action: “a function which indicates what should happen when the data contain NAs”
    • by default, an observation will be excluded from the model if itcontains missing values for any variable used in the model
• Value (object created or “returned” by the lm() function)
  • “lm returns an object of class ‘lm’”
  • “An object of class ‘lm’ is a list containing at least the following components”

Run model of the relationship between cost of attendance (X) and institution-level student debt (Y)

• However, the output printed just by running the lm() function usually doesn’t contain everything we need

lm(formula = debt_all_stgp_eval_mean ~ coa_grad_res, data = df_socialwork)
#> 
#> Call:
#> lm(formula = debt_all_stgp_eval_mean ~ coa_grad_res, data = df_socialwork)
#> 
#> Coefficients:
#>  (Intercept)  coa_grad_res  
#>   13445.9395        0.9687

When you run the lm() function, R creates an object that contains lots of information about the model we run. We can store this object by assigning it a name using <-

• let’s store the object

# create object
mod1 <- lm(formula = debt_all_stgp_eval_mean ~ coa_grad_res, data = df_socialwork)

# simple print of mod1 object
mod1
#> 
#> Call:
#> lm(formula = debt_all_stgp_eval_mean ~ coa_grad_res, data = df_socialwork)
#> 
#> Coefficients:
#>  (Intercept)  coa_grad_res  
#>   13445.9395        0.9687

Let’s investigate the contents of the mod1 object using the str() function

• Below output looks rather nasty! let me highlight a few points:
• the underlying data type of mod1 is a “list”; data frames are also list
• mod1 is a list of 13 elements
  • each of these 13 elements has a “name”, so mod1 is a “named list”
• we can refer to elements the object mod1 using the syntax: object_name$element_name
  • this is the same as when we referred to variables in a data frame using the syntax: dataframe_name$variable_name!
• The first element of mod1 is named “coefficients”, so we could refer to this element by typing mod1$coefficients:
  • 13445.9395041, 0.9686902

# investigate contents of mod1 object using str() function
mod1 %>% str() 
#> List of 12
#>  $ coefficients : Named num [1:2] 13445.94 0.969
#>   ..- attr(*, "names")= chr [1:2] "(Intercept)" "coa_grad_res"
#>  $ residuals    : Named num [1:253] 16173 3626 -8549 1455 -2863 ...
#>   ..- attr(*, "label")= chr "Average Stafford and Grad PLUS loan debt disbursed at this institution"
#>   ..- attr(*, "names")= chr [1:253] "1" "2" "3" "4" ...
#>  $ effects      : Named num [1:253] -653487 150598 -9495 619 -3953 ...
#>   ..- attr(*, "label")= chr "Average Stafford and Grad PLUS loan debt disbursed at this institution"
#>   ..- attr(*, "names")= chr [1:253] "(Intercept)" "coa_grad_res" "" "" ...
#>  $ rank         : int 2
#>  $ fitted.values: Named num [1:253] 35615 34375 41379 47823 32935 ...
#>   ..- attr(*, "label")= chr "Average Stafford and Grad PLUS loan debt disbursed at this institution"
#>   ..- attr(*, "names")= chr [1:253] "1" "2" "3" "4" ...
#>  $ assign       : int [1:2] 0 1
#>  $ qr           :List of 5
#>   ..$ qr   : num [1:253, 1:2] -15.906 0.0629 0.0629 0.0629 0.0629 ...
#>   .. ..- attr(*, "dimnames")=List of 2
#>   .. .. ..$ : chr [1:253] "1" "2" "3" "4" ...
#>   .. .. ..$ : chr [1:2] "(Intercept)" "coa_grad_res"
#>   .. ..- attr(*, "assign")= int [1:2] 0 1
#>   ..$ qraux: num [1:2] 1.06 1.04
#>   ..$ pivot: int [1:2] 1 2
#>   ..$ tol  : num 0.0000001
#>   ..$ rank : int 2
#>   ..- attr(*, "class")= chr "qr"
#>  $ df.residual  : int 251
#>  $ xlevels      : Named list()
#>  $ call         : language lm(formula = debt_all_stgp_eval_mean ~ coa_grad_res, data = df_socialwork)
#>  $ terms        :Classes 'terms', 'formula'  language debt_all_stgp_eval_mean ~ coa_grad_res
#>   .. ..- attr(*, "variables")= language list(debt_all_stgp_eval_mean, coa_grad_res)
#>   .. ..- attr(*, "factors")= int [1:2, 1] 0 1
#>   .. .. ..- attr(*, "dimnames")=List of 2
#>   .. .. .. ..$ : chr [1:2] "debt_all_stgp_eval_mean" "coa_grad_res"
#>   .. .. .. ..$ : chr "coa_grad_res"
#>   .. ..- attr(*, "term.labels")= chr "coa_grad_res"
#>   .. ..- attr(*, "order")= int 1
#>   .. ..- attr(*, "intercept")= int 1
#>   .. ..- attr(*, "response")= int 1
#>   .. ..- attr(*, ".Environment")=<environment: R_GlobalEnv> 
#>   .. ..- attr(*, "predvars")= language list(debt_all_stgp_eval_mean, coa_grad_res)
#>   .. ..- attr(*, "dataClasses")= Named chr [1:2] "numeric" "numeric"
#>   .. .. ..- attr(*, "names")= chr [1:2] "debt_all_stgp_eval_mean" "coa_grad_res"
#>  $ model        :'data.frame':   253 obs. of  2 variables:
#>   ..$ debt_all_stgp_eval_mean: num [1:253] 51788 38001 32830 49278 30072 ...
#>   .. ..- attr(*, "label")= chr "Average Stafford and Grad PLUS loan debt disbursed at this institution"
#>   ..$ coa_grad_res           : num [1:253] 22886 21606 28836 35488 20119 ...
#>   .. ..- attr(*, "label")= chr "graduate, full-time, state resident COA; == tuition + fees + (ug) books/supplies + (ug) off-campus room and boa"| __truncated__
#>   ..- attr(*, "terms")=Classes 'terms', 'formula'  language debt_all_stgp_eval_mean ~ coa_grad_res
#>   .. .. ..- attr(*, "variables")= language list(debt_all_stgp_eval_mean, coa_grad_res)
#>   .. .. ..- attr(*, "factors")= int [1:2, 1] 0 1
#>   .. .. .. ..- attr(*, "dimnames")=List of 2
#>   .. .. .. .. ..$ : chr [1:2] "debt_all_stgp_eval_mean" "coa_grad_res"
#>   .. .. .. .. ..$ : chr "coa_grad_res"
#>   .. .. ..- attr(*, "term.labels")= chr "coa_grad_res"
#>   .. .. ..- attr(*, "order")= int 1
#>   .. .. ..- attr(*, "intercept")= int 1
#>   .. .. ..- attr(*, "response")= int 1
#>   .. .. ..- attr(*, ".Environment")=<environment: R_GlobalEnv> 
#>   .. .. ..- attr(*, "predvars")= language list(debt_all_stgp_eval_mean, coa_grad_res)
#>   .. .. ..- attr(*, "dataClasses")= Named chr [1:2] "numeric" "numeric"
#>   .. .. .. ..- attr(*, "names")= chr [1:2] "debt_all_stgp_eval_mean" "coa_grad_res"
#>  - attr(*, "class")= chr "lm"

Let’s play around with the element named coefficients within the object mod1 using the syntax object_name$element_name

# names of elements in object mod1
names(mod1)
#>  [1] "coefficients"  "residuals"     "effects"       "rank"          "fitted.values" "assign"        "qr"            "df.residual"   "xlevels"       "call"          "terms"         "model"

# mod1$coefficients

  #print element
    mod1$coefficients
#>   (Intercept)  coa_grad_res 
#> 13445.9395041     0.9686902
    
  #investigate structure of element
    # a (named) numeric vector
    mod1$coefficients %>% str()
#>  Named num [1:2] 13445.94 0.969
#>  - attr(*, "names")= chr [1:2] "(Intercept)" "coa_grad_res"
    str(mod1$coefficients) # same same
#>  Named num [1:2] 13445.94 0.969
#>  - attr(*, "names")= chr [1:2] "(Intercept)" "coa_grad_res"

  # names of element  
    mod1$coefficients %>% names()
#> [1] "(Intercept)"  "coa_grad_res"
    names(mod1$coefficients) # same same  
#> [1] "(Intercept)"  "coa_grad_res"

  # length of element
    mod1$coefficients %>% length()
#> [1] 2
    length(mod1$coefficients) # same same  
#> [1] 2

# so the mod1$coefficients is an object itself; it is a numeric vector of length=2
  
  # print the first element of mod1$coefficients
  mod1$coefficients[1]
#> (Intercept) 
#>    13445.94
  
  # print the second element of mod1$coefficients
  mod1$coefficients[2]
#> coa_grad_res 
#>    0.9686902

A key takeaway from above code chunk

• Population linear regression model
  • \(Y_i = \beta_0 + \beta_1X_i + u_i\)
• Our estimate of \(\beta_0\) can be found by typing mod1$coefficients[1]
  • 13445.9395041
• Our estimate of \(\beta_1\) can be found by typing mod1$coefficients[2]
  • 0.9686902

4.2 summary() function

Use the summary() after use running lm() to produce easier-to-read summary of regression results

summary() function

• Description
  • “summary is a generic function used to produce result summaries of the results of various model fitting functions. The function invokes particular methods which depend on the class of the first argumen”
• syntax
  • summary(object, ...)
  • examples (these give the same result)
    • summary(object = mod1)
    • summary(mod1)
• Value (object created or “returned” by the summary() function)
  • object returned by the summary function is different depending on the kind of model you are summarizing

Run summary() function after running regression using lm()

mod1 <- lm(formula = debt_all_stgp_eval_mean ~ coa_grad_res, data = df_socialwork)

# priting output from summary(mod1)
  #summary(object = mod1)
  summary(mod1)
#> 
#> Call:
#> lm(formula = debt_all_stgp_eval_mean ~ coa_grad_res, data = df_socialwork)
#> 
#> Residuals:
#>    Min     1Q Median     3Q    Max 
#> -25799  -5991   -926   5357  42453 
#> 
#> Coefficients:
#>                 Estimate  Std. Error t value             Pr(>|t|)    
#> (Intercept)  13445.93950  1830.24898   7.347     0.00000000000285 ***
#> coa_grad_res     0.96869     0.06069  15.962 < 0.0000000000000002 ***
#> ---
#> Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
#> 
#> Residual standard error: 9435 on 251 degrees of freedom
#> Multiple R-squared:  0.5038, Adjusted R-squared:  0.5018 
#> F-statistic: 254.8 on 1 and 251 DF,  p-value: < 0.00000000000000022

Using str() to investigate object created by summary() function

• again, the Below output looks rather nasty! let me highlight a few points:
• the underlying data type of the object created by summary(mod1) is a “list”;
  • data frames are also list; mod1 is also a list
• summary(mod1) is a list of 12 elements
  • each of these 13 elements has a “name”, so summary(mod1) is a “named list”
• we can refer to elements the object summary(mod1) using the syntax: object_name$element_name
  • e.g., summary(mod1)$coefficients

# investigating object created by summary(mod1)
summary(mod1) %>% str()
#> List of 11
#>  $ call         : language lm(formula = debt_all_stgp_eval_mean ~ coa_grad_res, data = df_socialwork)
#>  $ terms        :Classes 'terms', 'formula'  language debt_all_stgp_eval_mean ~ coa_grad_res
#>   .. ..- attr(*, "variables")= language list(debt_all_stgp_eval_mean, coa_grad_res)
#>   .. ..- attr(*, "factors")= int [1:2, 1] 0 1
#>   .. .. ..- attr(*, "dimnames")=List of 2
#>   .. .. .. ..$ : chr [1:2] "debt_all_stgp_eval_mean" "coa_grad_res"
#>   .. .. .. ..$ : chr "coa_grad_res"
#>   .. ..- attr(*, "term.labels")= chr "coa_grad_res"
#>   .. ..- attr(*, "order")= int 1
#>   .. ..- attr(*, "intercept")= int 1
#>   .. ..- attr(*, "response")= int 1
#>   .. ..- attr(*, ".Environment")=<environment: R_GlobalEnv> 
#>   .. ..- attr(*, "predvars")= language list(debt_all_stgp_eval_mean, coa_grad_res)
#>   .. ..- attr(*, "dataClasses")= Named chr [1:2] "numeric" "numeric"
#>   .. .. ..- attr(*, "names")= chr [1:2] "debt_all_stgp_eval_mean" "coa_grad_res"
#>  $ residuals    : Named num [1:253] 16173 3626 -8549 1455 -2863 ...
#>   ..- attr(*, "label")= chr "Average Stafford and Grad PLUS loan debt disbursed at this institution"
#>   ..- attr(*, "names")= chr [1:253] "1" "2" "3" "4" ...
#>  $ coefficients : num [1:2, 1:4] 13445.9395 0.9687 1830.249 0.0607 7.3465 ...
#>   ..- attr(*, "dimnames")=List of 2
#>   .. ..$ : chr [1:2] "(Intercept)" "coa_grad_res"
#>   .. ..$ : chr [1:4] "Estimate" "Std. Error" "t value" "Pr(>|t|)"
#>  $ aliased      : Named logi [1:2] FALSE FALSE
#>   ..- attr(*, "names")= chr [1:2] "(Intercept)" "coa_grad_res"
#>  $ sigma        : num 9435
#>  $ df           : int [1:3] 2 251 2
#>  $ r.squared    : num 0.504
#>  $ adj.r.squared: num 0.502
#>  $ fstatistic   : Named num [1:3] 255 1 251
#>   ..- attr(*, "names")= chr [1:3] "value" "numdf" "dendf"
#>  $ cov.unscaled : num [1:2, 1:2] 0.0376335913301 -0.0000011804756 -0.0000011804756 0.0000000000414
#>   ..- attr(*, "dimnames")=List of 2
#>   .. ..$ : chr [1:2] "(Intercept)" "coa_grad_res"
#>   .. ..$ : chr [1:2] "(Intercept)" "coa_grad_res"
#>  - attr(*, "class")= chr "summary.lm"

summary(mod1)$coefficients
#>                   Estimate    Std. Error   t value                                         Pr(>|t|)
#> (Intercept)  13445.9395041 1830.24898197  7.346508 0.0000000000028486699404211586288820923229536675
#> coa_grad_res     0.9686902    0.06068575 15.962400 0.0000000000000000000000000000000000000004558158

summary(mod1)$coefficients %>% str()
#>  num [1:2, 1:4] 13445.9395 0.9687 1830.249 0.0607 7.3465 ...
#>  - attr(*, "dimnames")=List of 2
#>   ..$ : chr [1:2] "(Intercept)" "coa_grad_res"
#>   ..$ : chr [1:4] "Estimate" "Std. Error" "t value" "Pr(>|t|)"

Grabbing individual elements from summary(mod1)$coefficients

• the element “coefficients” created by summary() is a “matrix”
• more specifically, it is a 2 X 4 matrix, that is a matrix with 2 rows and 4 columns
• we can grab an individual cell within the matrix using this syntax: summary(mod1)$coefficients[<row_num>,<col_num]
  • e.g., type summary(mod1)$coefficients[2,1] to print estimate of \(\beta_1\)
  • like this: 0.9686902

# the element "coefficients" created by summary() is a "matrix"
summary(mod1)$coefficients %>% class()
#> [1] "matrix" "array"

# more specifically, it is a 2 X 4 matrix, that is a matrix with 2 rows and 4 columns
summary(mod1)$coefficients %>% str()
#>  num [1:2, 1:4] 13445.9395 0.9687 1830.249 0.0607 7.3465 ...
#>  - attr(*, "dimnames")=List of 2
#>   ..$ : chr [1:2] "(Intercept)" "coa_grad_res"
#>   ..$ : chr [1:4] "Estimate" "Std. Error" "t value" "Pr(>|t|)"

# we can grab an individual cell within the matrix using this syntax: 
  # summary(mod1)$coefficients[<row_num>,<col_num]
  summary(mod1)$coefficients[2,1] # this is the estimate for Beta_1
#> [1] 0.9686902

5 Estimation

General things we do in regression analysis

1. Estimation [Today]
   • How do we choose estimates of \(\beta_0\) and \(\beta_1\) using sample data?

2. Prediction [Next Week]
   • What is the predicted value of Y for someone with a particular value of X?

3. Hypothesis testing [focus of the rest of the semester]
   • Hypothesis testing and confidence intervals about \(\beta_1\)

Step 1 of regression is to estimate parameters of the population linear regression model

• \(Y_i = \beta_0 + \beta_1X_i + u_i\)

Goal of estimation: use sample data to estimate population parameters:

• Previous lecture: we used sample data on variable \(Y\) to estimate population mean, \(\mu_Y\)
  • \(\bar{Y}\) (sample mean of \(Y\)) is an estimate of \(\mu_Y\)
• This lecture: use sample data to estimate the population intercept, \(\beta_0\), and the population regression coefficient, \(\beta_1\)
  • \(\hat{\beta_0}\) is an estimate of \(\beta_0\)
  • \(\hat{\beta_1}\) is an estimate of \(\beta_1\)

Review of terms

• point estimate (also called “estimate”):
  • a single value that is our guess of the value of the population parameter
  • e.g., sample mean institution-level student debt \(\bar{Y}=\) 41084 is our best guess of population mean institution-level student debt \(\mu_Y\)
• estimator:
  • a method or formula for calculating an estimate of a population parameter based on sample data
  • e.g., \(\bar{Y} = \frac{\sum_{i=1}^{n} Y_i}{n}\) is estimator (formula) for calculating an estimate of population mean, \(\mu_Y\)
• estimation:
  • the process of using an estimator to calculate point estimates of population parameters, based on sample data

Estimation problem:

• we write out the population linear regression model, \(Y_i = \beta_0 + \beta_1X_i + u_i\)
• Need to develop a method for choosing values of \(\hat{\beta_0}\) and \(\hat{\beta_1}\)
  • that is we need to develop an estimator that yields the “best” point estimates of \(\hat{\beta_0}\) and \(\hat{\beta_1}\)

5.1 Estimation (population mean)

We faced a similar estimation problem when we were trying to estimate population mean, \(\mu_Y\)!

• Using sample data, we want to calculate the “best” estimate of the population mean, \(\mu_Y\)
• We decided sample mean, \(\bar{Y}= \frac{\sum_{i=1}^{n} Y_i}{n}\), was the “best” estimate

How did statisticians decide that \(\bar{Y}= \frac{\sum_{i=1}^{n} Y_i}{n}\) was “best” estimate of \(\mu_Y\)? What criteria to make this decision?:

imagine that \(m\) is all potential estimates for \(\mu_Y\)

• e.g., \(\bar{Y}\) is one potential estimate of \(\mu_Y\); the sample median is another potential estimate

Criteria statisticians used to decide which \(m\) is the “best” estimate of \(\mu_Y\):

• choose the value, \(m\) , that minimizes the “sum of squares”
• Sum of squares = \(\sum_{i=1}^{n}(Y_i-m)^2\)
• Sum of squares in words
  • for each observation: measures how far away an individual observation \(Y_i\) is from estimate \(m\); and then square this distance (to remove negative values)
  • then sum this squared distance across all observations, \(Y_i\)
• Conceptually, in choosing “minimize sum of squares” as our criteria for selecting the best estimate of \(\mu_Y\), we are “how far off” in total (across all observations) if we can only use a single value to be our guess of the value of each individual observation

Below, we graph scatterplot of cost of attendance (X) and institution-level student debt (Y axis), and add a horizontal line for the mean value of institution-level student debt, \(\bar{Y}=\) 41084

• let’s say that \(\bar{Y}=\) 41084 is our “predicted value” for each observation in the scatterplot
• For each observation \(i\), the “residual” \(u_i = Y_i - \bar{Y}\) represents how far off our predicted value is from the actual value for that observation
• \(\bar{Y}= \frac{\sum_{i=1}^{n} Y_i}{n}\) is the choice for \(m\) that minimizes the sum of squared errors, \(\sum_{i=1}^{n}(Y_i-m)^2\)
• in other words, \(\bar{Y}\) is the value that minimizes how far off our prediction is in total (across all observations)

#df_socialwork %>%  ggplot(aes(x=coa_grad_res, y=debt_all_stgp_eval_mean)) + geom_point() + stat_smooth(method = 'lm')
df_socialwork %>%  ggplot(aes(x=coa_grad_res, y=debt_all_stgp_eval_mean)) + geom_point() + 
  geom_hline(yintercept=mean(df_socialwork$debt_all_stgp_eval_mean, na.rm = TRUE), linetype="dashed", color = "red")

5.2 Estimation (regression)

Population linear regression model

• \(Y_i = \beta_0 + \beta_1X_i + u_i\)

The estimation problem in regression

• Need to develop method for selecting the “best” estimate of \(\hat{\beta_0}\) and \(\hat{\beta_1}\)
• Solution: do the same thing we did for population mean! Choose the estimates \(\hat{\beta_0}\) and \(\hat{\beta_1}\) that minimize the sum of squares

First some terminology:

• \(Y_i\) is the actual observed value of \(Y\) for observation \(i\)
• \(\hat{\beta_0}\) is an estimate of \(\beta_0\), population average value of \(Y\) when \(X=0\)
• \(\hat{\beta_1}\) is an estimate of \(\beta_1\), the average change in the value of \(Y\) associated with a one-unit increase in \(X\)
• \(\hat{Y_i}\) is the predicted value of \(Y_i\), based on sample data!
  • \(\hat{Y_i} = \hat{\beta_0} + \hat{\beta_1}X_i\)
  • Example: \(\hat{\beta_0}=10,000\) and \(\hat{\beta_1}=.75\), then for a university with cost of attendance = \(30,000\)
    • \(\hat{Y_i} = \hat{\beta_0} + \hat{\beta_1}X_i = 10,000 + .75 \times30,000=32,500\)
• Estimated residual, \(\hat{u}_i\) is the difference between actual \(Y_i\) and predicted \(\hat{Y_i}\)
  • \(Y_i - \hat{Y_i}\) = \(\hat{u_i}\)
  • \(Y_i - (\hat{\beta_0} + \hat{\beta_1}X_i)\) = \(\hat{u_i}\)
  • Residuals are often called “errors”

Criteria for choosing “best” estimate of \(\hat{\beta_0}\) and \(\hat{\beta_1}\)

• Select values that minimize “sum of squared residuals”
• that is, the “best” estimates of \(\hat{\beta_0}\) and \(\hat{\beta_1}\) are those that any other alternatives would result in a higher sum of squared residuals

Sum of squared residuals (or sometimes called “sum of squared errors”):

• \(\sum_{i=1}^{n}\) \((Y_i - \hat{Y_i})^2\)

• \(\sum_{i=1}^{n}\) \((Y_i - (\hat{\beta_0} + \hat{\beta_1}X_i))^2\)

• \(\sum_{i=1}^{n}\) \((u_i)^2\)

Conceptual explanation for use “sum of squared residuals” as the criteria for choosing values for \(\hat{\beta_0}\) and \(\hat{\beta_1}\)

• Having a y-intercept (\(\hat{\beta_0}\)) and a slope (\(\hat{\beta_1}\)) allows us to draw a straight line, our “prediction line”
• by choosing the values of \(\hat{\beta_0}\) and \(\hat{\beta_1}\) that minimize the sum of squared residuals, we are creating a linear prediction line that minimizes how far away (in total, across all observations) the predicted values are from the actual values

Scatterplot of cost of attendance (X) and institution-level student debt (Y)

• red dotted horizontal line for mean of institution-level student debt
• blue line is the OLS prediction line, associated with values of \(\hat{\beta_0}\) and \(\hat{\beta_1}\) calculated by R
• visually you can see that sum of squared errors would be much larger if we used the mean of institution-level student debt (red line) as the predicted value for every observation

df_socialwork %>%  ggplot(aes(x=coa_grad_res, y=debt_all_stgp_eval_mean)) + geom_point() + 
  stat_smooth(method = 'lm') +
  geom_hline(yintercept=mean(df_socialwork$debt_all_stgp_eval_mean, na.rm = TRUE), linetype="dashed", color = "red")

Ordinary Least Squares (OLS) Estimator is a linear method for estimating parameters in a linear regression model based on the sum of squared errors criterion

• Method draws a line through the sample data points that minimizes the sum of squared residuals, or in other words, the differences between the observed values and the corresponding fitted values
• Minimization is achieved via calculus (derivatives). R will calculate this for you (phew!)
• \(\hat{\beta_0}\) and \(\hat{\beta_1}\), respectively, are the symbols for the OLS estimates of population parameters \(\beta_0\) and \(\beta_1\)

5.2.1 OLS Prediction Line

RQ: What is the effect of cost of attendance (X) on institution-level student debt (Y)?

Population Linear Regression Model

• \(Y_i = \beta_0 + \beta_1X_i + u_i\)

OLS Prediction Line or “OLS Regression Line” (based on sample data)

• \(\hat{Y_i} = \hat{\beta_0} + \hat{\beta_1}X_i\)

Let’s run regression in R using lm() to calculate values for point estimates \(\hat{\beta_0}\) and \(\hat{\beta_1}\)

• \(\hat{\beta_0}=\) 13445.94
• \(\hat{\beta_1}=\) 0.97

mod1 <- lm(formula = debt_all_stgp_eval_mean ~ coa_grad_res, data = df_socialwork)

summary(mod1)
#> 
#> Call:
#> lm(formula = debt_all_stgp_eval_mean ~ coa_grad_res, data = df_socialwork)
#> 
#> Residuals:
#>    Min     1Q Median     3Q    Max 
#> -25799  -5991   -926   5357  42453 
#> 
#> Coefficients:
#>                 Estimate  Std. Error t value             Pr(>|t|)    
#> (Intercept)  13445.93950  1830.24898   7.347     0.00000000000285 ***
#> coa_grad_res     0.96869     0.06069  15.962 < 0.0000000000000002 ***
#> ---
#> Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
#> 
#> Residual standard error: 9435 on 251 degrees of freedom
#> Multiple R-squared:  0.5038, Adjusted R-squared:  0.5018 
#> F-statistic: 254.8 on 1 and 251 DF,  p-value: < 0.00000000000000022

summary(mod1)$coefficients %>% class()
#> [1] "matrix" "array"

# more specifically, it is a 2 X 4 matrix, that is a matrix with 2 rows and 4 columns
summary(mod1)$coefficients %>% str()
#>  num [1:2, 1:4] 13445.9395 0.9687 1830.249 0.0607 7.3465 ...
#>  - attr(*, "dimnames")=List of 2
#>   ..$ : chr [1:2] "(Intercept)" "coa_grad_res"
#>   ..$ : chr [1:4] "Estimate" "Std. Error" "t value" "Pr(>|t|)"

# we can grab an individual cell within the matrix using this syntax: 
  # summary(mod1)$coefficients[<row_num>,<col_num]
  summary(mod1)$coefficients[1,1] # row 1, column 1; this is the estimate for Beta_0
#> [1] 13445.94
  summary(mod1)$coefficients[2,1] # row 2, column 1; this is the estimate for Beta_1
#> [1] 0.9686902

5.3 Writing out models

When we run a regression model, write out regression models like this (we will be doing this the rest of the quarter):

• Write out the population linear regression model
  • Label symbols; label what the variables \(X\) and \(Y\) actually represent
• OLS prediction line
  • write out OLS prediction line without estimate values
  • write out OLS prediction line with estimate values
• And usually a good idea to:
  • write out interpretation of\(\hat{\beta_0}\) in words
  • write out interpretation of\(\hat{\beta_1}\) in words

• Population Linear Regression Model
  • \(Y_i = \beta_0 + \beta_1X_i + u_i\)
  • where:
    • subscript \(i\) refers to universities
    • \(Y_i\): institution-level student debt (in dollars) at university \(i\)
    • \(X_i\): annual cost of attendance (in dollars) for full-time resident graduate students at university \(i\)
    • \(\beta_0\): population intercept, average value of \(Y\) when \(X=0\)
      
    • \(\beta_1\): population regression coefficient, the average change in the value of \(Y\) associated with a one-unit increase in \(X\)
  • OLS Prediction Line or “OLS Regression Line” (based on sample data)
  • \(\hat{Y_i} = \hat{\beta_0} + \hat{\beta_1}X_i\)
    
  • \(\hat{Y_i} =\) 13445.94 + 0.97 \(\times X_i\)

Once you write it out like this, easy to answer questions about your regression model

• Predict the the expected value institution-level student debt at a university where annual cost of attendance is $20,000? That is, what is \(E(\hat{Y_i}|X=20,000)\)?

  • \(E(\hat{Y_i}|X=20,000) = \hat{Y_i} = \hat{\beta_0} + \hat{\beta_1}X_i=\) 13445.94 + 0.97 \(\times 20,000\) = 32820

• Predict the the expected value value of institution-level student debt at a university where annual cost of attendance is $50,000? That is, what is \(E(\hat{Y_i}|X=50,000)\)?

  • \(E(\hat{Y_i}|X=50,000) = \hat{Y_i} = \hat{\beta_0} + \hat{\beta_1}X_i=\) 13445.94 + 0.97 \(\times 50,000\) = 61880

Interpreting \(\hat{\beta_0}\) and \(\hat{\beta_1}\) in words

• \(\hat{\beta_0}=\) 13445.94 is the OLS estimate of the population intercept \(\beta_0\), which represents average value of \(Y\) (institution-level student debt) at a university with X=0 (cost of attendance = 0)
  • interpretation of \(\hat{\beta_0}=\) 13445.94: the predicted institution-level student debt at a university with annual cost of attendance equals 0 is 13445.94
• \(\hat{\beta_1}=\) 0.97 is the OLS estimate of the population intercept \(\beta_1\), which represents average effect of a one-unit increase in \(X\) on the value of \(Y\)
  • General formula for interpretation of \(\hat{\beta_1}\):
    • "On average, a one-unit increase in \(X\) is associated with a \(\hat{\beta_1}\) increase (or decrease) in the value of \(Y\)
    • when applying this formula replace “one unit increase in \(X\)” with “one dollar increase in annual cost of attendance”; do the same sort of thing for \(Y\)
  • interpretation of \(\hat{\beta_1}=\) 0.97: a one-dollar increase in annual cost of attendance is associated with a 0.97 dollar increase in institution-level student debt

6 Model Fit

6.1 \(R^2\)

Introducing, \(R^2\), “the coefficient of determination”

Reminder of where we left off:

• Research question
  • What is the relationship between cost of attendance (\(X\)) on institution-level student debt (\(Y\))?
• Population Linear Regression Model
  • \(Y_i = \beta_0 + \beta_1X_i + u_i\)
  • where:
    • subscript \(i\) refers to universities
    • \(Y_i\): institution-level student debt (in dollars) at university \(i\)
    • \(X_i\): annual cost of attendance (in dollars) for full-time resident graduate students at university \(i\)
    • \(\beta_0\): population intercept, average value of \(Y\) when \(X=0\)
      
    • \(\beta_1\): population regression coefficient, the average change in the value of \(Y\) associated with a one-unit increase in \(X\)
      
• OLS Prediction Line (based on sample data) \(\hat{Y_i}\) is predicted value \(Y_i\) for a given value of \(X\)
  • \(\hat{Y_i} = \hat{\beta_0} + \hat{\beta_1}X_i\)
  • \(\hat{Y_i} =\) 13445.94 + 0.97 \(\times X_i\)

In the summary of the regression output below, notice the following:

• “Multiple R-squared:” 0.5038

mod1 <- lm(formula = debt_all_stgp_eval_mean ~ coa_grad_res, data = df_socialwork)

summary(mod1)
#> 
#> Call:
#> lm(formula = debt_all_stgp_eval_mean ~ coa_grad_res, data = df_socialwork)
#> 
#> Residuals:
#>    Min     1Q Median     3Q    Max 
#> -25799  -5991   -926   5357  42453 
#> 
#> Coefficients:
#>                 Estimate  Std. Error t value             Pr(>|t|)    
#> (Intercept)  13445.93950  1830.24898   7.347     0.00000000000285 ***
#> coa_grad_res     0.96869     0.06069  15.962 < 0.0000000000000002 ***
#> ---
#> Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
#> 
#> Residual standard error: 9435 on 251 degrees of freedom
#> Multiple R-squared:  0.5038, Adjusted R-squared:  0.5018 
#> F-statistic: 254.8 on 1 and 251 DF,  p-value: < 0.00000000000000022

#summary(mod1) %>% str() # show structure of object created by summary(mod1)

# print r-squared using syntax object_name$element_name
summary(mod1)$r.squared
#> [1] 0.5037547

What does \(R^2\) measure?

• \(R^2\), “the coefficient of determination”, measures the fraction of the variance in Y that is explained by X (and is not already explained by sample mean, \(\bar{Y}\))
  • In other words, how much better is the regression model in predicting values of Y than \(\bar{Y}\)

Looking at the below scatterplot of cost of attendance (\(X\)) and institution-level debt(\(Y\)); with mean value of debt as horizontal dotted line and OLS prediction line as solid blue line

• \(R^2\), “the coefficient of determination”, measures how much closer the predicted values of \(\hat{Y_i}\) are to actual values \(Y_i\) when we use OLS prediction line to predict \(Y_i\) (i.e., \(\hat{Y_i}=\hat{\beta_0} + \hat{\beta_1}X_i\)), rather than using sample mean \(\bar{Y}\) to predict \(Y_i\) (i.e., \(\hat{Y_i}=\bar{Y}\))

df_socialwork %>%  ggplot(aes(x=coa_grad_res, y=debt_all_stgp_eval_mean)) + geom_point() + 
  stat_smooth(method = 'lm') +
  geom_hline(yintercept=mean(df_socialwork$debt_all_stgp_eval_mean, na.rm = TRUE), linetype="dashed", color = "red")

Interpreting \(R^2\)

• \(R^2\) ranges from 0 to 1
  • \(R^2=0\): “the model does not explain any variation in Y” (that is not already explained by sample mean, \(\bar{Y}\))
  • \(R^2=1\): “the model explains 100% of the variation in Y” (that is not already explained by sample mean, \(\bar{Y}\))
  • \(R^2=0.135\): “the model explains 13.5% of the variation in Y” (that is not already explained by sample mean, \(\bar{Y}\))

Formula for \(R^2\)

\(R^2 = \frac{\text{variance in Y that is explained by X}}{\text{total variance in Y}} = \frac{\text{Explained Sum of Squares}}{\text{Total Sum of Squares}} = \frac{ESS}{TSS}\)

OR

\(R^2 = 1- \frac{\text{variance in Y that not explained explained by X}}{\text{total variance in Y}} = 1- \frac{\text{Sum of Squared Residuals}}{\text{Total Sum of Squares}} = 1- \frac{SSR}{TSS}\)

6.1.1 Components of \(R^2\)

Components of \(R^2\)

• \(\hat{Y_i} = \hat{\beta_0} + \hat{\beta_1}X_i\)
  • predicted value of \(Y_i\) for a given value of \(X\)
• \(\hat{u_i} = Y_i - \hat{Y_i}\)
  • residual or “error” for observation \(i\); equals observed value \(Y_i\) minus predicted value \(\hat{Y_i}\)

• Total Sum of Squares (TSS) = \(\sum_{i=1}^{n} (Y_i-\bar{Y})^2\)
  • A measure of the total variance in Y, relative to \(\bar{Y}\)
• Explained Sum of Squares (ESS) = \(\sum_{i=1}^{n} (\hat{Y_i}-\bar{Y})^2\)
  • Difference between predicted values \(\hat{Y_i}\) and sample mean \(\bar{Y}\)
  • Measures amount of variation in Y explained by X
• Sum of Squared Residuals (SSR) = \(\sum_{i=1}^{n} (Y_i- \hat{Y_i})^2\)
  • Difference between actual value observed and predicted value by our regression line
  • Measures amount of variation in Y not explained by X

\(TSS = ESS + SSR\)

• Total variation in Y (TSS) equals variation explained by the model (ESS) plus variation not explained by model (SSR)
• Use visual plot explain TSS, ESS, SSR

df_socialwork %>%  ggplot(aes(x=coa_grad_res, y=debt_all_stgp_eval_mean)) + geom_point() + 
  stat_smooth(method = 'lm') +
  geom_hline(yintercept=mean(df_socialwork$debt_all_stgp_eval_mean, na.rm = TRUE), linetype="dashed", color = "red")

6.1.2 Calculating \(R^2\)

6.1.2.1 Calculating \(R^2\) by hand

Calculating \(\bar{Y}\), \(\hat{Y}_i\), and \(\hat{u}_i\)

• Predicted value for each \(i\):
  • \(\hat{Y_i} = \hat{\beta_0} + \hat{\beta_1}X_i=\) 13445.94 + 0.97 \(\times X_i\)
• Residual (or “error”) for each \(i\):
  • \(\hat{u_i} = Y_i - \hat{Y}_i = Y_i - (\hat{\beta_0} + \hat{\beta_1}X_i) = Y_i -\) (13445.94 + 0.97 \(\times X_i\))

#summary(mod1) %>% str()

# mean value of y for each i
ybar <- mean(df_socialwork$debt_all_stgp_eval_mean, na.rm = TRUE)
ybar
#> [1] 41084.36

# predicted values for each y_i
yhat_i <- summary(mod1)$coefficients[1,1] + summary(mod1)$coefficients[2,1]*df_socialwork$coa_grad_res

# residual for each Y_i
u_i <- df_socialwork$debt_all_stgp_eval_mean - yhat_i

Calculating TSS, ESS, and SSR

• Total Sum of Squares (TSS) = \(\sum_{i=1}^{n} (Y_i-\bar{Y})^2\)
  • A measure of the total variance in Y, relative to \(\bar{Y}\)
  • total sum of squares = 45,021,707,772
• Explained Sum of Squares (ESS) = \(\sum_{i=1}^{n} (\hat{Y_i}-\bar{Y})^2\)
  • Difference between predicted values \(\hat{Y_i}\) and sample mean \(\bar{Y}\)
  • Measures amount of variation in Y explained by X
  • explained sum of squares = 22,679,895,162
• Sum of Squared Residuals (SSR) = \(\sum_{i=1}^{n} (Y_i- \hat{Y_i})^2\)
  • Difference between actual value observed and predicted value by our regression line
  • Measures amount of variation in Y not explained by X
  • sum of squared residuals = 22,341,812,610
  • or calculate SSR as \(\sum_{i=1}^{n} (\hat{u_i})^2=\) 22,341,812,610

# total sum of squares (TSS)
tss <- sum((df_socialwork$debt_all_stgp_eval_mean - ybar)^2, na.rm = TRUE)
tss
#> [1] 45021707772

# Explained sum of squares (ESS)
ess <- sum((yhat_i - ybar)^2, na.rm = TRUE)
ess
#> [1] 22679895162

# Sum of squared residuals (SSR)
ssr <- sum((df_socialwork$debt_all_stgp_eval_mean - yhat_i)^2, na.rm = TRUE)
ssr
#> [1] 22341812610

  # or calculate this way, based on u_i
  sum(u_i^2)
#> [1] 22341812610

Calculating \(R^2\)

\(R^2\) as ESS/TSS

• \(R^2 = \frac{\text{variance in Y that is explained by X}}{\text{total variance in Y}} = \frac{ESS}{TSS}=\) (22,679,895,162)/(45,021,707,772) = 0.5038

# calculating R^2 as ESS/TSS
  #sum((yhat_i - ybar)^2, na.rm = TRUE)/sum((df_socialwork$debt_all_stgp_eval_mean - ybar)^2, na.rm = TRUE)
  ess/tss
#> [1] 0.5037547

OR

\(R^2\) as 1 - SSR/TSS

• \(R^2 = 1- \frac{\text{variance in Y that not explained explained by X}}{\text{total variance in Y}} = 1- \frac{SSR}{TSS}=1-\) (22,341,812,610)/(45,021,707,772) = 0.5038

# calculating R^2 as (1- SSR/TSS)
  #1 - sum((df_socialwork$debt_all_stgp_eval_mean - yhat_i)^2, na.rm = TRUE)/sum((df_socialwork$debt_all_stgp_eval_mean - ybar)^2, na.rm = TRUE)
  1 - ssr/tss
#> [1] 0.5037547

6.1.2.2 Calculating \(R^2\) in R

\(R^2 = \frac{\text{variance in Y that is explained by X}}{\text{total variance in Y}} = \frac{ESS}{TSS}=\)

• Note that in R:

  • summary() will only give you the \(R^2\)
  • anova() will give you ESS and SSR (but not TSS)

Using summary() to calculate \(R^2\)

• “Multiple R-squared:” 0.5038

summary(mod1)
#> 
#> Call:
#> lm(formula = debt_all_stgp_eval_mean ~ coa_grad_res, data = df_socialwork)
#> 
#> Residuals:
#>    Min     1Q Median     3Q    Max 
#> -25799  -5991   -926   5357  42453 
#> 
#> Coefficients:
#>                 Estimate  Std. Error t value             Pr(>|t|)    
#> (Intercept)  13445.93950  1830.24898   7.347     0.00000000000285 ***
#> coa_grad_res     0.96869     0.06069  15.962 < 0.0000000000000002 ***
#> ---
#> Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
#> 
#> Residual standard error: 9435 on 251 degrees of freedom
#> Multiple R-squared:  0.5038, Adjusted R-squared:  0.5018 
#> F-statistic: 254.8 on 1 and 251 DF,  p-value: < 0.00000000000000022

Using anova() to calculate \(R^2\)

• Estimated sum of squares (ESS) = 22,679,895,162
• Sum of Squared Residuals (SSR) = 22,341,812,610
• Total Sum of Squares (TSS) = ESS + SSR = 45,021,707,772
• \(R^2 = \frac{ESS}{TSS}=\) (22,679,895,162)/(45,021,707,772) = 0.5038

anova(mod1)
#> # A tibble: 2 x 5
#>      Df     `Sum Sq`    `Mean Sq` `F value`  `Pr(>F)`
#>   <int>        <dbl>        <dbl>     <dbl>     <dbl>
#> 1     1 22679895162. 22679895162.      255.  4.56e-40
#> 2   251 22341812610.    89011206.       NA  NA

anova(mod1) %>% str()
#> Classes 'anova' and 'data.frame':    2 obs. of  5 variables:
#>  $ Df     : int  1 251
#>  $ Sum Sq : num  22679895162 22341812610
#>  $ Mean Sq: num  22679895162 89011206
#>  $ F value: num  255 NA
#>  $ Pr(>F) : num  0.000000000000000000000000000000000000000456 NA
#>  - attr(*, "heading")= chr [1:2] "Analysis of Variance Table\n" "Response: debt_all_stgp_eval_mean"

# this 2-element vector contains ESS and SSR
anova(mod1)$"Sum Sq"
#> [1] 22679895162 22341812610

# ESS
anova(mod1)$"Sum Sq"[1]
#> [1] 22679895162

# SSR
anova(mod1)$"Sum Sq"[2]
#> [1] 22341812610

# TSS
anova(mod1)$"Sum Sq"[1] + anova(mod1)$"Sum Sq"[2]
#> [1] 45021707772

# R squared
anova(mod1)$"Sum Sq"[1]/(anova(mod1)$"Sum Sq"[1] + anova(mod1)$"Sum Sq"[2])
#> [1] 0.5037547

6.1.3 Student exercise about \(R^2\)

Student Exercise #1

RQ1: What is the relationship between cost of attendance (X) and earnings (Y) (2 year after graduation)?

• X= coa_grad_res
• Y= earn_mdn_hi_2yr

1. Run the regression in R (assign to object mod2)
2. Using summary(mod2):
   • What is \(R^2\)? Interpret \(R^2\).
3. Using anova(mod2):
   • Show that \(R^2\) = ESS/TSS

Student Exercise #1 [SOLUTIONS]

RQ1: What is the relationship between cost of attendance (X) and earnings (Y) (2 year after graduation)?

1. Run regression in R (assign to object mod2)
2. Using summary(mod2):
   • What is \(R^2\)? Measures the fraction of the variance in Y that is explained by X (and is not already explained by sample mean)
   • \(R^2\) = 0.01851; Cost of attendance at a university explains 1.8% of the variation in earnings two years after graduation
3. Using anova(mod2):
   • ESS= 166755675
   • SSR = 8840224276
   • TSS = 166755675 + 8840224276 = 9006979951
   • \(R^2\) = 166755675/9006979951 = 0.01851405

mod2 <- lm(formula = earn_mdn_hi_2yr ~ coa_grad_res, data = df_socialwork)

summary(mod2)
#> 
#> Call:
#> lm(formula = earn_mdn_hi_2yr ~ coa_grad_res, data = df_socialwork)
#> 
#> Residuals:
#>      Min       1Q   Median       3Q      Max 
#> -25269.1  -3206.9   -618.3   2606.2  27027.8 
#> 
#> Coefficients:
#>                 Estimate  Std. Error t value            Pr(>|t|)    
#> (Intercept)  42957.23208  1241.04364  34.614 <0.0000000000000002 ***
#> coa_grad_res     0.08525     0.04084   2.087              0.0379 *  
#> ---
#> Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
#> 
#> Residual standard error: 6186 on 231 degrees of freedom
#>   (20 observations deleted due to missingness)
#> Multiple R-squared:  0.01851,    Adjusted R-squared:  0.01427 
#> F-statistic: 4.357 on 1 and 231 DF,  p-value: 0.03794

anova(mod2)
#> # A tibble: 2 x 5
#>      Df    `Sum Sq`  `Mean Sq` `F value` `Pr(>F)`
#>   <int>       <dbl>      <dbl>     <dbl>    <dbl>
#> 1     1  166755675. 166755675.      4.36   0.0379
#> 2   231 8840224276.  38269369.     NA     NA

anova(mod2)$"Sum Sq"[1] / (anova(mod2)$"Sum Sq"[1] + anova(mod2)$"Sum Sq"[2])
#> [1] 0.01851405

6.2 Standard Error of the Regression (SER)

Sample standard Error of the Regression (SER), denoted SER or \(\hat{\sigma}_{\hat{u}}\) or \(s_{\hat{u}}\)

• SER an estimate of the standard deviation of the residuals \(\hat{u_i}\)
• Definition
  • Sample standard error of the regression (SER) is an estimate of how far away, on average, an actual observed value of \(Y_i\) is from the predicted value \(\hat{Y}_i\) of \(Y_i\) for a random observation, \(i\)

Comparison of sample standard deviation \(\hat{\sigma}_{Y}\) and SER

• Sample standard deviation of \(Y\), denoted \(\hat{\sigma}_{Y}\) or \(s_{Y}\)
  • Average distance between a random observation \(Y_i\) an the sample mean \(\bar{Y}\)
  • \(\hat{\sigma_{Y}} = s_{Y} = \sqrt{ \frac {\sum_{i=1}^{n} ({Y_{i} -\overline{Y})^2}} {n-1} }\)

• Standard error of the regression, denoted SER or \(\hat{\sigma}_{\hat{u}}\) or \(s_{\hat{u}}\)
  • Average distance between a random observation \(Y_i\) and the value predicted by the OLS regression, \(\hat{Y_i}\)
  • where, \(\hat{Y_i} = \hat{\beta_0} + \hat{\beta_1}X_i\)

Formula for SER

• \(SER = \sqrt{\frac{SSR}{n-2}}= \sqrt{ \frac {\sum_{i=1}^{n} ({Y_{i} -\hat{Y})^2}} {n-2} } = \sqrt{ \frac {\sum_{i=1}^{n} (\hat{u_{i}})^2} {n-2}}\)
• where, SSR = sum of squared residuals
• Why is denominator (n-2)?
  • Because we lose one “degree of freedom” for calculating sample mean \(\bar{Y}\) and another for the independent variable \(X\)

SER is called “Residual Standard Error” in output of summary()

• “Residual Standard Error”: 9434.5750099
• using the syntax object_name$element_name, SER can be referenced by: summary(mod1)$sigma

mod1 <- lm(formula = debt_all_stgp_eval_mean ~ coa_grad_res, data = df_socialwork)

summary(mod1)
#> 
#> Call:
#> lm(formula = debt_all_stgp_eval_mean ~ coa_grad_res, data = df_socialwork)
#> 
#> Residuals:
#>    Min     1Q Median     3Q    Max 
#> -25799  -5991   -926   5357  42453 
#> 
#> Coefficients:
#>                 Estimate  Std. Error t value             Pr(>|t|)    
#> (Intercept)  13445.93950  1830.24898   7.347     0.00000000000285 ***
#> coa_grad_res     0.96869     0.06069  15.962 < 0.0000000000000002 ***
#> ---
#> Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
#> 
#> Residual standard error: 9435 on 251 degrees of freedom
#> Multiple R-squared:  0.5038, Adjusted R-squared:  0.5018 
#> F-statistic: 254.8 on 1 and 251 DF,  p-value: < 0.00000000000000022

# this syntax references SER
summary(mod1)$sigma
#> [1] 9434.575

Calculating SER

\(SER = \sqrt{\frac{SSR}{n-2}}= \sqrt{ \frac {\sum_{i=1}^{n} ({Y_{i} -\hat{Y}_i)^2}} {n-2} } = \sqrt{ \frac {\sum_{i=1}^{n} (\hat{u_{i}})^2} {n-2}}\)

can calculate SER using output from anova() function, which provides SSR

• Sum of Squared Residuals (SSR)
  • syntax to find SSR in R: anova(mod1)$"Sum Sq"[2]
  • SSR = 22,341,812,610
• denominator of SER is \(n-2\), which is the “degrees of freedom” of the model
  • syntax to find degrees of freedom: anova(mod1)$Df[2]
  • degrees of freedom: 251
• \(SER = \sqrt{\frac{SSR}{n-2}}=\) sqrt( (22,341,812,610)/(251) ) = 9434.5750099

anova(mod1)
#> # A tibble: 2 x 5
#>      Df     `Sum Sq`    `Mean Sq` `F value`  `Pr(>F)`
#>   <int>        <dbl>        <dbl>     <dbl>     <dbl>
#> 1     1 22679895162. 22679895162.      255.  4.56e-40
#> 2   251 22341812610.    89011206.       NA  NA

# Sum of squared residuals
anova(mod1)$"Sum Sq"[2]
#> [1] 22341812610

# denominator of SER is DF of sum of squared residuals
anova(mod1)$Df[2]
#> [1] 251

# SER
sqrt(anova(mod1)$"Sum Sq"[2]/anova(mod1)$Df[2])
#> [1] 9434.575

#format(round(sqrt(anova(mod1)$"Sum Sq"[2]/anova(mod1)$Df[2]), digits=4),big.mark = ',')

Interpreting SER

Recall we have:

• Research question
  • What is the relationship between cost of attendance (\(X\)) on institution-level student debt (\(Y\))?
• Population Linear Regression Model
  • \(Y_i = \beta_0 + \beta_1X_i + u_i\)
  • where:
    • subscript \(i\) refers to universities
    • \(Y_i\) = institution-level student debt (in dollars) at university \(i\)
    • \(X_i\) = annual cost of attendance (in dollars) for full-time resident graduate students at university \(i\)
• OLS Prediction Line (based on sample data) \(\hat{Y_i}\) is predicted value \(Y_i\) for a given value of \(X\)
  • \(\hat{Y_i} = \hat{\beta_0} + \hat{\beta_1}X_i\)
  • \(\hat{Y_i} =\) 13445.94 + 0.97 \(\times X_i\)

\(SER = \sqrt{\frac{SSR}{n-2}}=\) 9,435

• general definition of SER:
  • Sample standard error of the regression (SER) is an estimate of how far away, on average, an actual observed value of \(Y_i\) is from the predicted value \(\hat{Y}_i\) of \(Y_i\) for a random observation, \(i\)
• Interpretation of SER = 9,435
  • On average, observed values of institution-level student debt (\(Y_i\)) are 9,435 dollars away from predicted values of institution-level student debt \(\hat{Y}_i\)
• in general, higher values of SER mean that our predicted OLS line is off by a lot

Comparison of SER to sample standard deviation of \(Y\), \(\hat{\sigma}_Y\)

• sample standard deviation: \(\hat{\sigma}_Y=\) 13,366
  • On average, observations of \(Y_i\) are 13,366 dollars away from the sample mean \(\bar{Y}\) of \(Y\)
• Sample standard error of the regression: \(SER =\) 9,435
  • On average, observed values of \(Y_i\) are 9,435 dollars away from predicted values \(\hat{Y}_i\)
• so it seems like our regression model is doing a substantially better job of predicting values of institution-level student debt than the mean value of institution-level student debt

# standard deviation of Y
sd(df_socialwork$debt_all_stgp_eval_mean, na.rm = TRUE)
#> [1] 13366.28

# Standard error of the regression
summary(mod1)$sigma
#> [1] 9434.575

Comments on SER and \(R^2\)

\(R^2\)

• Low \(R^2\) tell us that the model does not explain much of the variation in the dependent variable; there are other factors (not included in the model) that explain most of the variation in the dependent variable
• Low \(R^2\) is not necessarily bad and a high \(R^2\) is not necessarily good (e.g., predicting provery from having a cell phone has a very high \(R^2\))

\(SER\)

• High SER tells us that our predictions will often be wrong by a lot; but that does not necessarily mean our model is bad given some things are hard to predict and we often are interested in “averages”!

Econometrics Research & Model Fit

• Usually we’re most concerned with estimating \(\beta_1\), which is the “causal effect” of X on Y
• Models with high \(R^2\) and low SER may still be wrong about \(\beta_1\)

6.2.1 SER student exercise

Student Exercise #2

RQ1: What is the relationship between cost of attendance (X) and earnings (Y) (2 year after graduation)?

• X= coa_grad_res
• Y= earn_mdn_hi_2yr

1. Run regression in R (did this already in exercise #1; mod2)
2. Using summary(mod2):
   • What is SER? Interpret SER.
3. Using anova(mod2):
   • Show that SER = \(\sqrt{\frac{SSR}{n-2}}\)

Student Exercise #2 [SOLUTIONS]

RQ1: What is the relationship between cost of attendance (X) and earnings (Y) (2 year after graduation)?

2. Using summary(mod2):
   • What is SER? SER is on average how far away an actual observed value of Y is from the predicted value of Y for a random observation
   • Interpret SER. 6186; Average distance between earnings 2 years after graduation for a random university and earnings 2 years after graduation predicted by the OLS regression is 6186
3. Using anova(mod2):
   • Show that SER = \(\sqrt{\frac{SSR}{n-2}}\) = \(\sqrt{\frac{8840224276}{231}}\) = \(\sqrt{38269369}\) =6186.224

mod2 <- lm(formula = earn_mdn_hi_2yr ~ coa_grad_res, data = df_socialwork)

summary(mod2)
#> 
#> Call:
#> lm(formula = earn_mdn_hi_2yr ~ coa_grad_res, data = df_socialwork)
#> 
#> Residuals:
#>      Min       1Q   Median       3Q      Max 
#> -25269.1  -3206.9   -618.3   2606.2  27027.8 
#> 
#> Coefficients:
#>                 Estimate  Std. Error t value            Pr(>|t|)    
#> (Intercept)  42957.23208  1241.04364  34.614 <0.0000000000000002 ***
#> coa_grad_res     0.08525     0.04084   2.087              0.0379 *  
#> ---
#> Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
#> 
#> Residual standard error: 6186 on 231 degrees of freedom
#>   (20 observations deleted due to missingness)
#> Multiple R-squared:  0.01851,    Adjusted R-squared:  0.01427 
#> F-statistic: 4.357 on 1 and 231 DF,  p-value: 0.03794

anova(mod2)
#> # A tibble: 2 x 5
#>      Df    `Sum Sq`  `Mean Sq` `F value` `Pr(>F)`
#>   <int>       <dbl>      <dbl>     <dbl>    <dbl>
#> 1     1  166755675. 166755675.      4.36   0.0379
#> 2   231 8840224276.  38269369.     NA     NA

#square root of sum of squared residuals divided by degress of freedom
sqrt(anova(mod2)$"Sum Sq"[2]/anova(mod2)$Df[2])
#> [1] 6186.224

#or 
summary(mod2)$sigma
#> [1] 6186.224

7 Hypothesis testing about \(\beta_1\)

This section teaches how to test hypotheses about \(\beta_1\) using the point estimate \(\hat{\beta_1}\), which you calculate from R

mod1 <- lm(formula = debt_all_stgp_eval_mean ~ coa_grad_res, data = df_socialwork)

summary(mod1)
#> 
#> Call:
#> lm(formula = debt_all_stgp_eval_mean ~ coa_grad_res, data = df_socialwork)
#> 
#> Residuals:
#>    Min     1Q Median     3Q    Max 
#> -25799  -5991   -926   5357  42453 
#> 
#> Coefficients:
#>                 Estimate  Std. Error t value             Pr(>|t|)    
#> (Intercept)  13445.93950  1830.24898   7.347     0.00000000000285 ***
#> coa_grad_res     0.96869     0.06069  15.962 < 0.0000000000000002 ***
#> ---
#> Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
#> 
#> Residual standard error: 9435 on 251 degrees of freedom
#> Multiple R-squared:  0.5038, Adjusted R-squared:  0.5018 
#> F-statistic: 254.8 on 1 and 251 DF,  p-value: < 0.00000000000000022

Research question and models

• Research question
  • posed in a correlational way:
    • What is the relationship between cost of attendance (\(X\)) and institution-level student debt (\(Y\))?
  • posed in a causal effects way:
    • What is the effect of cost of attendance (\(X\)) on institution-level student debt (\(Y\))?
• Population Linear Regression Model
  • \(Y_i = \beta_0 + \beta_1X_i + u_i\)
  • where:
    • \(Y_i\): institution-level student debt (in dollars) at university \(i\)
    • \(X_i\): annual cost of attendance (in dollars) for full-time resident graduate students at university \(i\)
    • \(\beta_1\): population regression coefficient, is the average change in the value of \(Y\) associated with a one-unit increase in \(X\)
• OLS Prediction Line
  • \(\hat{Y_i} = \hat{\beta_0} + \hat{\beta_1}X_i\)
  • \(\hat{Y_i} =\) 13445.94 + 0.97 \(\times X_i\)

Looking above, it seems like the interpretation of \(\beta_1\) – “the average change in the value of \(Y\) associated with a one-unit increase in \(X\)” – is the answer to our primary research question

• that’s because it is!

The fundamental goal of causal inference research is to make statements about \(\beta_1\)

• in causal inference research we specify our research question using the form "What is the effect of \(X\) on \(Y\);
• and \(\beta_1\) represents the relationship between (a one-unit change in) \(X\) and \(Y\)

But \(\beta_1\) is a population parameter. We usually don’t know it. For two reasons:

1. We usually have data from a single random sample, not the entire population
2. If we are trying to estimate causal relationships then \(\beta_1\) represents the causal effect of a one-unit increase in \(X\) on the value of \(Y\), not the correlational/associational relationship between \(X\) and \(Y\)

• formally, \(\beta_1\) is the relationship between \(X\) and \(Y\) if values of \(X\) were randomly assigned (i.e., an experiment)
• We usually don’t have experimental data, so we use regression (or other methods) as an attempt to “recreate” experimental conditions

Let’s put aside the causal/experimental concern for now and focus on the first problem: we want to make statements about \(\beta_1\) but \(\beta_1\) is a population parameter and we only have data from a single random sample. so what do we do?:

• calculate OLS estimate \(\hat{\beta_1}\)
• Use \(\hat{\beta_1}\) to test hypotheses about \(\beta_1\)

We always test the same hypothesis about \(\beta_1\)

• \(H_0: \beta_1 =0\)
  • Means that the slope of the relationship between \(X\) and \(Y\) is 0; that is, there is no relationship \(X\) and \(Y\)
• \(H_a: \beta_1 \ne 0\)
  • there is a relationship \(X\) and \(Y\))

Why this hypothesis?

• In causal research, the research question is “What is the effect of \(X\) on \(Y\)”
• If we cannot reject \(H_0: \beta_1 =0\), then this answers our research question

7.1 Overview

Recall that we followed these five steps when testing hypotheses about \(\mu_Y\) and when testing hypotheses about whether the population means of two groups are equal to one another (e.g., \(\mu_{treatment}=\mu_{control}\)):

1. Assumptions
2. Specify null and alternative hypotheses
3. Test statistic
4. P-value
5. Conclusion

When testing hypotheses about \(\beta_1\), we follow these same five steps!

1. Assumptions
2. Specify null and alternative hypotheses
   • \(H_0: \beta_1 =0\)
   • \(H_a: \beta_1 \ne 0\)
3. Test statistic
   • calculate test statistic under the assumption that \(H_0: \beta_1 =0\) is true
   • Draw the sampling distribution of \(\hat{\beta}_1\) centered at \(\beta_1 =0\)
   • Plot your point estimate \(\hat{\beta}_1\) from your single random sample
   • test statistic \(t\) calculates the distance between \(H_0: \beta_1 =0\) and \(\hat{\beta}_1\) in terms of standard errors, so that we can assign probabilities to this distance
4. P-value
   • if the probability (p-value) of observing a \(\hat{\beta}_1\) as far away from \(H_0: \beta_1 =0\) as the one we observed is small, then we reason it is unlikely that \(H_0\) is true, and then we reject \(H_0\)
5. Conclusion

7.2 Assumptions

For now, we’ll state the following assumptions as necessary to test hypotheses about \(\beta_1\):

• Draw random sample
• sample size is large enough to assume that sampling distribution of \(\hat{\beta_1}\) is normally distributed (central limit theorem)

Testing hypotheses about \(\beta_1\) requires more assumptions; we’ll introduce these later

Note: in our example, relationship between cost of attendance (\(X\)) and student debt (\(Y\)) for MA in social work programs, we our pretending that our sample is a random sample from the population of all MA in social work programs. But we definitely don’t have a random sample because systematically drop MA in social programs with modest enrollment

7.3 Specify hypotheses

RQ: What is the relationship between cost of attendance (\(X\)) on institution-level student debt (\(Y\))?

• Null hypothesis, \(H_0\)
  • \(H_0: \beta_1 =0\)
  • in words: there is no relationship between cost of attendance (\(X\)) and institution-level student debt (\(Y\))?
• \(H_a: \beta_1 \ne 0\)
  • in words: there is a relationship between cost of attendance (\(X\)) and institution-level student debt (\(Y\))?

Good to set alpha level (rejection region) at the same time we specify null and alternative hypotheses

• let’s choose \(\alpha\) of .05

Note: We almost always test two-sided hypotheses about regression coefficients

• Why? Because we can be wrong about the direction of \(\beta_1\)!
• Some policies can cause more harm than good! In fact, it is quite common to find policies that affect the outcome in the opposite direction than is intended!

7.4 Test statistic and p-value

After calculating the OLS estimate \(\hat{\beta}_1\), we can calculate a test statistic, \(t\), that will provide evidence necessary to make a decision about rejecting \(H_0\) or not

Recall the general formula for (any) test statistic

• \(test\_statistic = \frac{(\text{sample estimate}) - (\text{value hypothesized by } H_0)}{(\text{sample standard error})}\)
• When testing hypothesis \(H_0: \beta_1 =0\) about a regression coefficient:
  • “sample estimate” is: \(\hat{\beta}_1\)
  • “value hypothesized by \(H_0\)” is: \(\beta_{1,H_0}=0\)
  • “sample standard error” is: \(SE(\hat{\beta}_1)\), the sample standard error of the regression coefficient, \(\hat{\beta}_1\)

Test statistic for testing hypothesis about \(\beta_1\)

• \(t = \frac{\hat{\beta}_1 - \beta_{1,H_0}}{SE(\hat{\beta}_1)} = \frac{\hat{\beta}_1 - 0}{SE(\hat{\beta}_1)} = \frac{\hat{\beta}_1}{SE(\hat{\beta}_1)}\)

Calculating \(t\) for our RQ: relationship between cost of attendance (\(X\)) and institution-level debt (\(Y\))

• \(t = \frac{\hat{\beta}_1}{SE(\hat{\beta}_1)} = \frac{0.9687}{0.0607} = 15.96\)

Based on output from below regression model

• \(\hat{\beta}_1\): 0.9687
• \(SE(\hat{\beta}_1)\): 0.0607
• \(t\): 15.9624
• p-value associated with \(t\): 0

mod1 <- lm(formula = debt_all_stgp_eval_mean ~ coa_grad_res, data = df_socialwork)

summary(mod1)
#> 
#> Call:
#> lm(formula = debt_all_stgp_eval_mean ~ coa_grad_res, data = df_socialwork)
#> 
#> Residuals:
#>    Min     1Q Median     3Q    Max 
#> -25799  -5991   -926   5357  42453 
#> 
#> Coefficients:
#>                 Estimate  Std. Error t value             Pr(>|t|)    
#> (Intercept)  13445.93950  1830.24898   7.347     0.00000000000285 ***
#> coa_grad_res     0.96869     0.06069  15.962 < 0.0000000000000002 ***
#> ---
#> Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
#> 
#> Residual standard error: 9435 on 251 degrees of freedom
#> Multiple R-squared:  0.5038, Adjusted R-squared:  0.5018 
#> F-statistic: 254.8 on 1 and 251 DF,  p-value: < 0.00000000000000022

# printing output from the element named coefficients
summary(mod1)$coefficients
#>                   Estimate    Std. Error   t value                                         Pr(>|t|)
#> (Intercept)  13445.9395041 1830.24898197  7.346508 0.0000000000028486699404211586288820923229536675
#> coa_grad_res     0.9686902    0.06068575 15.962400 0.0000000000000000000000000000000000000004558158

7.4.1 Conceptual understanding of test statistic

Conceptually, test statistic for \(H_0: \beta_1 =0\) is the same as test statistic about the value of a single population mean, \(\mu_Y\), and is as follows:

We calculate the test statistic under the assumption that \(H_0: \beta_1 =0\) is true

We draw the hypothetical sampling distribution of \(\hat{\beta}_1\) centered at \(H_0: \beta_1 =0\)

• Imagine we take a random sample from the population and calculate \(\hat{\beta}_1\); then do that 1,000 times, 10,000 times
• Each observation in the sampling distribution is an estimate \(\hat{\beta}_1\) from a single random sample
• Drawing from the central limit theorem, the sampling distribution is normally distributed
• \(SE(\hat{\beta}_1)\), the sample standard error of \(\hat{\beta}_1\) is an estimate of how far away, on average, the value of \(\hat{\beta}_1\) from a single random sample is from the value of the expected value \(E(\hat{\beta}_1)\), which is the mean value of \(\hat{\beta}_1\) from an infinite number of random samples
  • recall the “standard error” is also called “standard deviation of the sampling distribution”

We plot our point estimate \(\hat{\beta}_1\) from our single random sample on the sampling distribution of \(\hat{\beta}_1\) centered at \(H_0: \beta_1 =0\)

• the test statistic \(t\) calculates the distance between \(H_0: \beta_1 =0\) and \(\hat{\beta}_1\), and converts this distance in terms of standard errors, \(SE(\hat{\beta}_1)\)
• Because the sampling distribution is normally distributed, we know that approximately 68% of observations fall within one standard error of the mean, 95% of observations fall within two standard errors of the mean, 99% of observations fall within three standard errors of the mean, etc.
  • the value of \(t\) for our regression was: 15.9624!!!
• if the probability (p-value) of observing a \(\hat{\beta}_1\) as far away from \(H_0: \beta_1 =0\) as the one we observed is small, then we reason it is unlikely that \(H_0\) is true, and then we reject \(H_0\)

Below, we plot the sampling distribution associated with \(H_0: \beta_1 =0\) using the function we created named plot_t_distribution()

mod1 <- lm(formula = debt_all_stgp_eval_mean ~ coa_grad_res, data = df_socialwork)
summary(mod1)
#> 
#> Call:
#> lm(formula = debt_all_stgp_eval_mean ~ coa_grad_res, data = df_socialwork)
#> 
#> Residuals:
#>    Min     1Q Median     3Q    Max 
#> -25799  -5991   -926   5357  42453 
#> 
#> Coefficients:
#>                 Estimate  Std. Error t value             Pr(>|t|)    
#> (Intercept)  13445.93950  1830.24898   7.347     0.00000000000285 ***
#> coa_grad_res     0.96869     0.06069  15.962 < 0.0000000000000002 ***
#> ---
#> Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
#> 
#> Residual standard error: 9435 on 251 degrees of freedom
#> Multiple R-squared:  0.5038, Adjusted R-squared:  0.5018 
#> F-statistic: 254.8 on 1 and 251 DF,  p-value: < 0.00000000000000022

plot_t_distribution(beta_y = 'debt_all_stgp_eval_mean', beta_x = 'coa_grad_res', data_df = df_socialwork)

p-value

Above, we chose an alpha level of \(\alpha= 0.05\); so if our observed p-value is less than .05, then we reject \(H_0: \beta_1 = 0\)

• from above, our t-statistic of 15.9624 is associated with a p-value of 0
• Decision:
  • we reject \(H_0: \beta_1 = 0\)
  • we accept \(H_a: \beta_1 \ne 0\)

And because two-sided alternative hypotheses are at least as conservative as one-sided alternative hypotheses, we can also conclude that \(\beta_1 \gt 0\)

• that is, we can conclude there is a positive relationship between cost of attendance (\(X\)) and institution-level student debt (\(Y\))

Our estimate \(\hat{\beta}_1\) = 0.97 can be interpreted as follows:

• we estimate that a one-dollar increase in annual cost of attendance is associated with a 0.97 dollar increase in the institution-level student debt of students who graduate with an MA in social work

7.4.2 Understanding \(SE(\hat{\beta_1})\)

Anytime we talk about hypothesis testing, we are using estimates from one random sample to make statements about population parameters

• But our estimates differ from population parameters due to random sampling

Standard error (SE) tells us how far away (on average) an estimate is likely to be from population parameter

• The lower our SE, the closer we are to the population parameter!

When is SE(\(\hat{\beta_1}\)) likely to be low?

• When standard error of the regression (SER) is also low (i.e., our predictions are good!)
• When sample size is big [estimates become more precise as sample size increases]
• When the variance of X is high

Below, the number of black and blue dots is the same. Using which sample would you get a more accurate regression line?

• Answer: the black dots (which have greater variance), because it would be more obvious how to draw a line of the linear relationship between \(X\) and \(Y\)

7.4.3 Student Exercise about hypothesis testing with \({\beta_1}\)

RQ1: What is the relationship between cost of attendance (X) and earnings (Y) (2 year after graduation)?

1. Write out the null and alternative hypotheses for \(\beta_1\)

2. Run regression in R

   • X= coa_grad_res
   • Y= earn_mdn_hi_2yr

3. Based on regression output in Q2 and t-statistic formula, show why t=2.087 for \(\hat{\beta_1}\)

4. Draw sampling distribution of \(\hat{\beta_1}\) assuming \(H_0\) is true. Label the following:

   • Population regression coefficient associated with \(H_0\)
   • \(\hat{\beta_1}\) and observed t-value
   • Shade in regions for Pr(t<-2.087) and Pr(t>2.087)
   • P-values for regions Pr(t<-2.087) and Pr(t>2.087)

Student Exercise #3 [SOLUTIONS]

1. Write out the null and alternative hypotheses for \(\beta_1\)
   • \(H_0: \beta_1 = 0\)
   • \(H_a: \beta_1 \ne 0\)

2. mod2 <- lm(formula = earn_mdn_hi_2yr ~ coa_grad_res, data = df_socialwork) summary(mod2)

mod2 <- lm(formula = earn_mdn_hi_2yr ~ coa_grad_res, data = df_socialwork)

summary(mod2)$coefficients
#>                    Estimate    Std. Error   t value                                                                                              Pr(>|t|)
#> (Intercept)  42957.23207812 1241.04363768 34.613797 0.000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000002210637
#> coa_grad_res     0.08524904    0.04083898  2.087443 0.037944420710803221374884941496929968707263469696044921875000000000000000000000000000000000000000000

3. t = \(\frac {\hat{\beta_1}- \beta_1,0} {SE(\hat{\beta_1})}\) =\(\frac {0.08524904 - 0} {0.04083898}\) = 2.087443

8 Factor variables

This section briefly introduces a class of variables called “factor” variables; When running regression in R with a categorical \(X\) variable (e.g., marital status), the \(X\) variable must be factor variable

• For a more thorough introduction, see the lecture Attributes and Class from the course EDUC 260A: Introduction to programming and data management

For this section, we will use the dataframes df_mba and df_mba_fac. These data frmes have tuition, earnings, and debt data associated with master’s in business administration (MBA) programs. The two data frames are exactly the same except:

• df_mba: categorical variables (e.g., locale,urban) are stored as labelled class
• df_mba_factor: categorical variables (e.g., locale,urban) are stored as factor class

# df_mba
df_mba %>% glimpse()
#> Rows: 665
#> Columns: 36
#> $ opeid6                        <chr> "001002", "001052", "025034", "001055", "001051", "001009", "001003", "001004", "001016", "001036", "001047", "001063", "001061", "001081", "001083", "001082", "001101", "001108", "001090", "001089", "001092", "001097", "001100", "001107", "001117", "001125", "001133", "001143", "007993", "001157", "001142", "001144", "001146", "001141", "001147", "001137", "001138", "001139", "001140", "001153", "001150", "001313", "001314", "001315", "001316", "001317", "001164", "020705", "001196", "001253", "001205", "001183", "001149", "001216", "001215", "001243", "011460", "001179", "001252", "001329", "010149", "001262", "001322", "001151", "010395", "001154", "001325", "001155", "001326", "001302", "001156", "001328", "001343", "001345", "004508", "004509", "001370", "009401", "001350", "001371", "001363", "001374", "001416", "001378", "001417", "001385", "001422", "001397", "001402", "001403", "001409", "001406", "001380", "001431", "007948", "001434", "001443", "001444", "001460", "001466", "001505", "003954", "001479", "001480", "001481", "001469", "009635", "001488", "001535", "001495", "021519", "001536", "009841", "001509", "008849", "001515", "001526", "001537", "001468", "001531", "001521", "001538", "003955", "001544", "001556", "008976", "001561", "001564", "001569", "001573", "001602", "001572", "001598", "001588", "001599", "001601", "001605", "001610", "007279", "001616", "001620", "001626", "001624", "001634", "001641", "001666", "001671", "001674", "001676", "009145", "001776", "001767", "001692", "001700", "001707", "001710", "001722", "001733", "001734", "001735", "001737", "001739", "001693", "001741", "001746", "001748", "001749", "001750", "001664", "001768", "001758", "001759", "001780", "001785", "001787", "001788", "001800", "001804", "001808", "001807", "001811", "001822", "001832", "001842", "001891", "001869", "001892", "001880", "001889", "001893", "001903", "001927", "001915", "001918", "001948", "001939", "001928", "007032", "001926", "001943", "001940", "001949", "001950", "001954", "001959", "001962", "001975", "002002", "002010", "002008", "002017", "002015", "002005", "002020", "002024", "002025", "002031", "002029", "002053", "002051", "002054", "002052", "002102", "002062", "002072", "002076", "002077", "002078", "011644", "002103", "002083", "002086", "002091", "002114", "002117", "002118", "002122", "002124", "002128", "002130", "002133", "002183", "021829", "002139", "002143", "002184", "002161", "002221", "002222", "002199", "002188", "002208", "002211", "002210", "002218", "002226", "002233", "002190", "002238", "002243", "002249", "002323", "002259", "002262", "002266", "002279", "002325", "002290", "002326", "002327", "002307", "002314", "002316", "002318", "002329", "002330", "002334", "009058", "002347", "002354", "010374", "003969", "002371", "002377", "002380", "002345", "002342", "002375", "002394", "002396", "002397", "002403", "002410", "002440", "002424", "002415", "002423", "002441", "002447", "002449", "002454", "002461", "002463", "002464", "002480", "007540", "002496", "002498", "002499", "002506", "002501", "002503", "002520", "002521", "002525", "002536", "009743", "002539", "002554", "002565", "002540", "002566", "002569", "002568", "002575", "002579", "002580", "002591", "002586", "002598", "002599", "002607", "002610", "002608", "002609", "002613", "002622", "002616", "002617", "002621", "009344", "002628", "002629", "002638", "002639", "009345", "021922", "002625", "002651", "002653", "002663", "002657", "002650", "002664", "002666", "002668", "002681", "002699", "009769", "002707", "002711", "007273", "002687", "007022", "002712", "002713", "002722", "002732", "002737", "002744", "002748", "002751", "002758", "002765", "002772", "002775", "002778", "002703", "020662", "002785", "002782", "002790", "002791", "002805", "002806", "002810", "002817", "002705", "002825", "002821", "002823", "002835", "002836", "002837", "002838", "002842", 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#> $ instnm                        <chr> "Alabama A & M University", "University of Alabama at Birmingham", "Amridge University", "University of Alabama in Huntsville", "The University of Alabama", "Auburn University", "Faulkner University", "University of Montevallo", "University of North Alabama", "Samford University", "Troy University", "University of Alaska Fairbanks", "Alaska Pacific University", "Arizona State University-Tempe", "University of Arizona", "Northern Arizona University", "University of Arkansas at Little Rock", "University of Arkansas", "Arkansas State University-Main Campus", "Arkansas Tech University", "University of Central Arkansas", "Harding University", "John Brown University", "Southern Arkansas University Main Campus", "Azusa Pacific University", "California Baptist University", "California Lutheran University", "California Polytechnic State University-San Luis Obispo", "California State University-Bakersfield", "California State University-Stanislaus", "California State University-San Bernardino", "California State Polytechnic University-Pomona", "California State University-Chico", "California State University-Dominguez Hills", "California State University-Fresno", "California State University-Fullerton", "California State University-East Bay", "California State University-Long Beach", "California State University-Los Angeles", "California State University-Northridge", "California State University-Sacramento", "University of California-Davis", "University of California-Irvine", "University of California-Los Angeles", "University of California-Riverside", "University of California-San Diego", "Chapman University", "Concordia University-Irvine", "Dominican University of California", "Fresno Pacific University", "Golden Gate University-San Francisco", "Holy Names University", "Humboldt State University", "University of La Verne", "La Sierra University", "Mount Saint Mary's University", "National University", "Notre Dame de Namur University", "Hope International University", "University of the Pacific", "Pepperdine University", "Point Loma Nazarene University", "University of Redlands", "San Diego State University", "University of San Diego", "San Francisco State University", "University of San Francisco", "San Jose State University", "Santa Clara University", "Saint Mary's College of California", "Sonoma State University", "University of Southern California", "Woodbury University", "Adams State University", "University of Colorado Denver/Anschutz Medical Campus", "University of Colorado Colorado Springs", "University of Colorado Boulder", "Colorado Christian University", "Colorado State University-Fort Collins", "University of Denver", "Regis University", "Albertus Magnus College", "University of Bridgeport", "Central Connecticut State University", "University of Connecticut", "Fairfield University", "University of Hartford", "University of New Haven", "Quinnipiac University", "Sacred Heart University", "University of Saint Joseph", "Southern Connecticut State University", "Western Connecticut State University", "University of Delaware", "Wilmington University", "American University", "Gallaudet University", "George Washington University", "Trinity Washington University", "Barry University", "Lynn University", "University of Central Florida", "Embry-Riddle Aeronautical University-Daytona Beach", "Florida Agricultural and Mechanical University", "Florida Atlantic University", "Florida Institute of Technology", "Florida International University", "Florida Southern College", "University of Florida", "Jacksonville University", "Keiser University-Ft Lauderdale", "University of Miami", "University of North Florida", "Nova Southeastern University", "Palm Beach Atlantic University", "Rollins College", "Saint Leo University", "University of South Florida-Main Campus", "St. Thomas University", "Stetson University", "Southeastern University", "The University of Tampa", "The University of West Florida", "Albany State University", "Brenau University", "Clayton  State University", "Columbus State University", "Emory University", "Georgia Institute of Technology-Main Campus", "Georgia Southwestern State University", "Georgia College & State University", "Georgia Southern University", "University of Georgia", "Piedmont College", "Valdosta State University", "University of West Georgia", "Chaminade University of Honolulu", "University of Hawaii at Manoa", "Hawaii Pacific University", "Boise State University", "Idaho State University", "University of Idaho", "Northwest Nazarene University", "Aurora University", "Bradley University", "Concordia University-Chicago", "DePaul University", "Eastern Illinois University", "Elmhurst College", "Governors State University", "University of Illinois at Chicago", "Benedictine University", "Illinois State University", "Judson University", "Lewis University", "Loyola University Chicago", "McKendree University", "National Louis University", "North Central College", "North Park University", "Northern Illinois University", "Northwestern University", "Northeastern Illinois University", "Olivet Nazarene University", "Robert Morris University Illinois", "Rockford University", "Roosevelt University", "Dominican University", "University of St Francis", "Saint Xavier University", "Southern Illinois University-Carbondale", "Southern Illinois University-Edwardsville", "Western Illinois University", "Anderson University", "Bethel University", "Butler University", "Grace College and Theological Seminary", "University of Indianapolis", "University of Southern Indiana", "Indiana State University", "Indiana University-East", "Indiana Wesleyan University-Marion", "University of Saint Francis-Fort Wayne", "Valparaiso University", "University of Dubuque", "Iowa State University", "University of Iowa", "Mount Mercy University", "Saint Ambrose University", "Upper Iowa University", "Baker University", "Emporia State University", "Fort Hays State University", "Friends University", "University of Kansas", "Newman University", "Kansas State University", "MidAmerica Nazarene University", "Pittsburg State University", "University of Saint Mary", "Southwestern College", "Washburn University", "Wichita State University", "Bellarmine University", "Campbellsville University", "University of the Cumberlands", "Midway University", "Western Kentucky University", "Louisiana State University and Agricultural & Mechanical College", "Louisiana Tech University", "McNeese State University", "University of New Orleans", "Nicholls State University", "University of Louisiana at Monroe", "Southeastern Louisiana University", "Southern University and A & M College", "University of Louisiana at Lafayette", "Tulane University of Louisiana", "University of Maine", "Saint Joseph's College of Maine", "University of Southern Maine", "Thomas College", "University of Baltimore", "Bowie State University", "Frostburg State University", "Hood College", "Johns Hopkins University", "Loyola University Maryland", "University of Maryland Global Campus", "University of Maryland-College Park", "Morgan State University", "Mount St. Mary's University", "Salisbury University", "American International College", "Anna Maria College", "Assumption College", "Bay Path University", "Bentley University", "Boston College", "Boston University", "Brandeis University", "Bridgewater State University", "Cambridge College", "Clark University", "Curry College", "Fitchburg State University", "University of Massachusetts-Lowell", "University of Massachusetts-Amherst", "University of Massachusetts-Boston", "Northeastern University", "Salem State University", "Simmons University", "Springfield College", "University of Massachusetts-Dartmouth", "Suffolk University", "Western New England University", "Worcester Polytechnic Institute", "Worcester State University", "Andrews University", "Central Michigan University", "Davenport University", "University of Detroit Mercy", "Eastern Michigan University", "Kettering University", "Cornerstone University", "Lawrence Technological University", "University of Michigan-Ann Arbor", "Michigan State University", "University of Michigan-Dearborn", "University of Michigan-Flint", "Oakland University", "Saginaw Valley State University", "Siena Heights University", "Spring Arbor University", "Wayne State University", "Western Michigan University", "Augsburg University", "Bethel University", "Concordia University-Saint Paul", "Hamline University", "Metropolitan State University", "University of Minnesota-Twin Cities", "University of Northwestern-St Paul", "Saint Cloud State University", "Saint Mary's University of Minnesota", "University of St Thomas", "St Catherine University", "Southwest Minnesota State University", "Winona State University", "Alcorn State University", "Belhaven University", "Delta State University", "Jackson State University", "University of Mississippi", "Mississippi Valley State University", "Mississippi College", "Mississippi State University", "University of Southern Mississippi", "William Carey University", "Avila University", "University of Central Missouri", "Drury University", "Evangel University", "Fontbonne University", "Lindenwood University", "Missouri Baptist University", "Northwest Missouri State University", "Park University", "Rockhurst University", "Saint Louis University", "Southeast Missouri State University", "Missouri State University-Springfield", "Washington University in St Louis", "Webster University", "William Woods University", "The University of Montana", "Bellevue University", "Chadron State College", "University of Nebraska at Omaha", "University of Nebraska-Lincoln", "College of Saint Mary", "Wayne State College", "University of Nevada-Las Vegas", "University of Nevada-Reno", "Franklin Pierce University", "New England College", "Southern New Hampshire University", "Plymouth State University", "Rivier University", "Caldwell University", "Centenary University", "Fairlei...
#> $ control                       <dbl+lbl> 1, 1, 2, 1, 1, 1, 2, 1, 1, 2, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 2, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 1, 2, 1, 2, 2, 1, 2, 2, 1, 1, 1, 1, 2, 1, 2, 2, 2, 2, 1, 1, 2, 2, 2, 2, 2, 2, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 1, 2, 1, 1, 2, 1, 2, 1, 2, 2, 2, 1, 2, 2, 2, 2, 1, 2, 2, 2, 2, 1, 1, 2, 1, 1, 2, 1, 1, 1, 1, 1, 2, 1, 1, 2, 1, 2, 1, 1, 1, 2, 2, 2, 2, 2, 1, 2, 1, 1, 2, 1, 2, 2, 2, 2, 2, 2, 2, 1, 2, 1, 2, 2, 2, 2, 2, 2, 2, 1, 1, 1, 2, 2, 2, 2, 2, 1, 1, 1, 2, 2, 2, 2, 1, 1, 2, 2, 2, 2, 1, 1, 2, 1, 2, 1, 2, 1, 2, 2, 1, 1, 2, 2, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 2, 1, 2, 1, 1, 1, 2, 2, 2, 1, 1, 1, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 1, 1, 1, 1, 2, 1, 2, 2, 1, 2, 2, 2, 1, 2, 1, 2, 2, 1, 2, 2, 2, 1, 1, 1, 1, 1, 1, 2, 2, 1, 1, 2, 2, 2, 2, 1, 1, 2, 1, 2, 2, 2, 1, 1, 1, 2, 1, 1, 1, 1, 2, 1, 1, 2, 2, 1, 2, 2, 2, 2, 2, 1, 2, 2, 2, 1, 1, 2, 2, 2, 1, 2, 1, 1, 1, 2, 1, 1, 1, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 1, 1, 1, 2, 1, 1, 1, 2, 1, 2, 2, 1, 1, 1, 1, 1, 1, 1, 2, 1, 2, 2, 2, 2, 2, 2, 2, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 1, 2, 1, 2, 1, 2, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 1, 2, 1, 1, 1, 1, 2, 2, 1, 2, 2, 1, 1, 2, 2, 2, 1, 2, 2, 2, 1, 2, 2, 2, 1, 1, 2, 1, 2, 2, 2, 1, 2, 1, 2, 2, 1, 1, 1, 2, 1, 1, 1, 2, 1, 2, 2, 1, 1, 2, 1, 2, 1, 2, 2, 1, 2, 1, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 1, 2, 2, 1, 2, 2, 2, 2, 2, 2, 1, 1, 1, 2, 2, 1, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 1, 1, 2, 1, 1, 1, 2, 1, 1, 2, 2, 2, 2, 2, 1, 2, 2, 2, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 1, 2, 2, 1, 2, 2, 1, 1, 2, 1, 1, 1, 1, 2, 1, 1, 2, 2, 1, 1, 2, 1, 2, 2, 2, 1, 2, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 2, 1, 2, 1, 1, 1, 1, 1, 2, 2, 2, 1, 1, 2, 2, 1, 2, 1, 2, 2, 1, 2, 1, 2, 1, 1, 1, 2, 1, 2, 2, 2, 2, 2, 1, 1, 1, 2, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 1, 1, 1, 1, 1, 2, 2, 2, 1, 2, 2, 1, 2, 1, 2, 1, 1, 2, 1
#> $ ccbasic                       <dbl+lbl> 18, 15, 20, 16, 15, 15, 19, 19, 18, 17, 18, 16, 20, 15, 15, 16, 16, 15, 16, 18, 17, 17, 19, 18, 16, 18, 18, 18, 18, 18, 18, 18, 18, 18, 17, 18, 18, 18, 18, 18, 18, 15, 15, 15, 15, 15, 16, 18, 19, 18, 18, 19, 19, 17, 19, 18, 18, 19, 19, 17, 17, 18, 18, 16, 16, 18, 17, 18, 17, 18, 18, 15, 19, 18, 15, 16, 15, 19, 15, 16, 17, 19, 17, 18, 15, 18, 17, 18, 17, 17, 17, 18, 19, 15, 17, 16, 16, 15, 19, 17, 18, 15, 19, 16, 16, 16, 15, 19, 15, 18, 17, 15, 17, 16, 17, 18, 18, 15, 18, 18, 19, 18, 18, 19, 18, 19, 18, 15, 15, 19, 18, 16, 15, 18, 17, 17, 18, 15, 18, 16, 16, 16, 18, 17, 18, 18, 16, 18, 18, 18, 15, 17, 16, 20, 18, 16, 18, 17, 19, 18, 16, 15, 18, 18, 19, 20, 17, 18, 17, 18, 16, 17, 18, 19, 20, 18, 19, 17, 18, 17, 20, 20, 18, 17, 19, 15, 15, 19, 18, 18, 17, 18, 18, 18, 15, 18, 15, 19, 18, 19, 19, 17, 16, 17, 18, 17, 20, 17, 15, 16, 18, 16, 18, 17, 18, 18, 16, 15, 16, 18, 18, 20, 18, 18, 18, 18, 15, 18, 18, 15, 16, 19, 18, 18, 19, 19, 18, 18, 15, 15, 15, 18, 18, 16, 19, 18, 16, 15, 16, 15, 18, 17, 18, 16, 18, 17, 16, 18, 17, 16, 18, 17, 16, 19, 19, 18, 15, 15, 18, 17, 16, 18, 20, 18, 15, 16, 18, 17, 18, 18, 17, 15, 19, 18, 18, 17, 17, 19, 20, 19, 18, 18, 16, 15, 20, 17, 15, 15, 17, 19, 18, 19, 19, 18, 17, 18, 18, 18, 18, 16, 18, 17, 15, 18, 17, 16, 18, 19, 16, 15, 19, 19, 15, 15, 19, 18, 18, 18, 18, 19, 19, 18, 19, 19, 16, 18, 18, 18, 16, 15, 19, 18, 15, 18, 16, 18, 19, 18, 18, 18, 15, 16, 19, 18, 17, 18, 18, 16, 18, 15, 15, 18, 18, 18, 17, 20, 16, 17, 18, 19, 18, 17, 18, 18, 18, 18, 19, 20, 16, 15, 18, 18, 17, 18, 16, 17, 19, 18, 19, 17, 17, 15, 15, 15, 15, 18, 18, 18, 18, 20, 15, 17, 18, 19, 18, 17, 16, 17, 19, 17, 18, 20, 16, 15, 16, 16, 18, 15, 16, 18, 18, 18, 16, 17, 18, 17, 19, 16, 16, 16, 18, 18, 16, 19, 15, 15, 16, 16, 17, 19, 16, 19, 20, 19, 16, 19, 18, 18, 15, 16, 18, 16, 17, 19, 19, 16, 18, 18, 19, 18, 18, 18, 15, 17, 15, 18, 18, 16, 19, 17, 19, 15, 15, 17, 16, 19, 18, 18, 19, 18, 18, 18, 18, 17, 18, 20, 15, 16, 18, 17, 19, 19, 18, 17, 18, 20, 16, 19, 18, 18, 15, 15, 18, 19, 18, 18, 19, 18, 18, 15, 16, 19, 18, 17, 17, 20, 19, 18, 18, 16, 18, 19, 19, 18, 18, 15, 20, 15, 18, 18, 19, 16, 18, 17, 17, 18, 19, 17, 16, 18, 19, 17, 16, 17, 17, 15, 20, 16, 16, 19, 17, 18, 18, 16, 18, 16, 17, 18, 19, 17, 18, 18, 18, 18, 15, 17, 17, 18, 19, 18, 18, 15, 17, 18, 15, 18, 18, 17, 18, 16, 20, 17, 16, 18, 16, 15, 15, 15, 15, 15, 17, 16, 16, 16, 15, 17, 18, 18, 16, 18, 16, 20, 15, 18, 18, 18, 18, 16, 16, 17, 19, 15, 16, 18, 17, 19, 19, 18, 16, 17, 15, 15, 15, 18, 18, 17, 19, 19, 19, 17, 15, 15, 18, 19, 20, 15, 19, 17, 20, 17, 17, 18, 19, 16, 18, 19, 18, 15, 18, 19, 16, 18, 18, 17, 15, 19, 17, 18, 20, 19, 18, 18, 19, 18, 17
#> $ stabbr                        <chr> "AL", "AL", "AL", "AL", "AL", "AL", "AL", "AL", "AL", "AL", "AL", "AK", "AK", "AZ", "AZ", "AZ", "AR", "AR", "AR", "AR", "AR", "AR", "AR", "AR", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CO", "CO", "CO", "CO", "CO", "CO", "CO", "CO", "CT", "CT", "CT", "CT", "CT", "CT", "CT", "CT", "CT", "CT", "CT", "CT", "DE", "DE", "DC", "DC", "DC", "DC", "FL", "FL", "FL", "FL", "FL", "FL", "FL", "FL", "FL", "FL", "FL", "FL", "FL", "FL", "FL", "FL", "FL", "FL", "FL", "FL", "FL", "FL", "FL", "FL", "GA", "GA", "GA", "GA", "GA", "GA", "GA", "GA", "GA", "GA", "GA", "GA", "GA", "HI", "HI", "HI", "ID", "ID", "ID", "ID", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IN", "IN", "IN", "IN", "IN", "IN", "IN", "IN", "IN", "IN", "IN", "IA", "IA", "IA", "IA", "IA", "IA", "KS", "KS", "KS", "KS", "KS", "KS", "KS", "KS", "KS", "KS", "KS", "KS", "KS", "KY", "KY", "KY", "KY", "KY", "LA", "LA", "LA", "LA", "LA", "LA", "LA", "LA", "LA", "LA", "ME", "ME", "ME", "ME", "MD", "MD", "MD", "MD", "MD", "MD", "MD", "MD", "MD", "MD", "MD", "MA", "MA", "MA", "MA", "MA", "MA", "MA", "MA", "MA", "MA", "MA", "MA", "MA", "MA", "MA", "MA", "MA", "MA", "MA", "MA", "MA", "MA", "MA", "MA", "MA", "MI", "MI", "MI", "MI", "MI", "MI", "MI", "MI", "MI", "MI", "MI", "MI", "MI", "MI", "MI", "MI", "MI", "MI", "MN", "MN", "MN", "MN", "MN", "MN", "MN", "MN", "MN", "MN", "MN", "MN", "MN", "MS", "MS", "MS", "MS", "MS", "MS", "MS", "MS", "MS", "MS", "MO", "MO", "MO", "MO", "MO", "MO", "MO", "MO", "MO", "MO", "MO", "MO", "MO", "MO", "MO", "MO", "MT", "NE", "NE", "NE", "NE", "NE", "NE", "NV", "NV", "NH", "NH", "NH", "NH", "NH", "NJ", "NJ", "NJ", "NJ", "NJ", "NJ", "NJ", "NJ", "NJ", "NJ", "NJ", "NJ", "NJ", "NJ", "NJ", "NJ", "NJ", "NJ", "NJ", "NM", "NM", "NM", "NM", "NM", "NM", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NC", "NC", "NC", "NC", "NC", "NC", "NC", "NC", "NC", "NC", "NC", "NC", "NC", "NC", "NC", "NC", "NC", "NC", "NC", "NC", "NC", "ND", "ND", "ND", "ND", "OH", "OH", "OH", "OH", "OH", "OH", "OH", "OH", "OH", "OH", "OH", "OH", "OH", "OH", "OH", "OH", "OH", "OH", "OH", "OH", "OH", "OH", "OH", "OH", "OH", "OH", "OH", "OH", "OH", "OK", "OK", "OK", "OK", "OK", "OK", "OK", "OK", "OK", "OK", "OR", "OR", "OR", "OR", "OR", "OR", "OR", "OR", "OR", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "RI", "RI", "RI", "RI", "RI", "SC", "SC", "SC", "SC", "SC", "SC", "SC", "SC", "SC", "SD", "SD", "TN", "TN", "TN", "TN", "TN", "TN", "TN", "TN", "TN", "TN", "TN", "TN", "TN", "TN", "TN", "TN", "TN", "TN", "TN", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "UT", "UT", "UT", "UT", "UT", "UT", "UT", "VT", "VT", "VT", "VA", "VA", "VA", "VA", "VA", "VA", "VA", "VA", "VA", "VA", "VA", "VA", "VA", "VA", "VA", "WA", "WA", "WA", "WA", "WA", "WA", "WA", "WA", "WA", "WA", "WA", "WV", "WV", "WI", "WI", "WI", "WI", "WI", "WI", "WI", "WI", "WI", "WI", "WI", "WI", "WI", "WI", "WY", "PR", "PR", "PR", "IN", "OK", "CA", "CA", "FL", "CA", "UT", "FL", "CA", "CA", "GA"
#> $ region                        <dbl+lbl> 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 8, 8, 6, 6, 6, 5, 5, 5, 5, 5, 5, 5, 5, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 7, 7, 7, 7, 7, 7, 7, 7, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 8, 8, 8, 7, 7, 7, 7, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 7, 4, 4, 4, 4, 4, 4, 8, 8, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 6, 6, 6, 6, 6, 6, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 4, 4, 4, 4, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 8, 8, 8, 8, 8, 8, 8, 8, 8, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 1, 1, 1, 1, 5, 5, 5, 5, 5, 5, 5, 5, 5, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 7, 7, 7, 7, 7, 7, 7, 1, 1, 1, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 5, 5, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 7, 9, 9, 9, 3, 6, 8, 8, 5, 8, 7, 5, 8, 8, 5
#> $ city                          <chr> "Normal", "Birmingham", "Montgomery", "Huntsville", "Tuscaloosa", "Auburn", "Montgomery", "Montevallo", "Florence", "Birmingham", "Troy", "Fairbanks", "Anchorage", "Tempe", "Tucson", "Flagstaff", "Little Rock", "Fayetteville", "Jonesboro", "Russellville", "Conway", "Searcy", "Siloam Springs", "Magnolia", "Azusa", "Riverside", "Thousand Oaks", "San Luis Obispo", "Bakersfield", "Turlock", "San Bernardino", "Pomona", "Chico", "Carson", "Fresno", "Fullerton", "Hayward", "Long Beach", "Los Angeles", "Northridge", "Sacramento", "Davis", "Irvine", "Los Angeles", "Riverside", "La Jolla", "Orange", "Irvine", "San Rafael", "Fresno", "San Francisco", "Oakland", "Arcata", "La Verne", "Riverside", "Los Angeles", "La Jolla", "Belmont", "Fullerton", "Stockton", "Malibu", "San Diego", "Redlands", "San Diego", "San Diego", "San Francisco", "San Francisco", "San Jose", "Santa Clara", "Moraga", "Rohnert Park", "Los Angeles", "Burbank", "Alamosa", "Denver", "Colorado Springs", "Boulder", "Lakewood", "Fort Collins", "Denver", "Denver", "New Haven", "Bridgeport", "New Britain", "Storrs", "Fairfield", "West Hartford", "West Haven", "Hamden", "Fairfield", "West Hartford", "New Haven", "Danbury", "Newark", "New Castle", "Washington", "Washington", "Washington", "Washington", "Miami", "Boca Raton", "Orlando", "Daytona Beach", "Tallahassee", "Boca Raton", "Melbourne", "Miami", "Lakeland", "Gainesville", "Jacksonville", "Fort Lauderdale", "Coral Gables", "Jacksonville", "Fort Lauderdale", "West Palm Beach", "Winter Park", "Saint Leo", "Tampa", "Miami Gardens", "DeLand", "Lakeland", "Tampa", "Pensacola", "Albany", "Gainesville", "Morrow", "Columbus", "Atlanta", "Atlanta", "Americus", "Milledgeville", "Statesboro", "Athens", "Demorest", "Valdosta", "Carrollton", "Honolulu", "Honolulu", "Honolulu", "Boise", "Pocatello", "Moscow", "Nampa", "Aurora", "Peoria", "River Forest", "Chicago", "Charleston", "Elmhurst", "University Park", "Chicago", "Lisle", "Normal", "Elgin", "Romeoville", "Chicago", "Lebanon", "Chicago", "Naperville", "Chicago", "Dekalb", "Evanston", "Chicago", "Bourbonnais", "Chicago", "Rockford", "Chicago", "River Forest", "Joliet", "Chicago", "Carbondale", "Edwardsville", "Macomb", "Anderson", "Mishawaka", "Indianapolis", "Winona Lake", "Indianapolis", "Evansville", "Terre Haute", "Richmond", "Marion", "Fort Wayne", "Valparaiso", "Dubuque", "Ames", "Iowa City", "Cedar Rapids", "Davenport", "Fayette", "Baldwin City", "Emporia", "Hays", "Wichita", "Lawrence", "Wichita", "Manhattan", "Olathe", "Pittsburg", "Leavenworth", "Winfield", "Topeka", "Wichita", "Louisville", "Campbellsville", "Williamsburg", "Midway", "Bowling Green", "Baton Rouge", "Ruston", "Lake Charles", "New Orleans", "Thibodaux", "Monroe", "Hammond", "Baton Rouge", "Lafayette", "New Orleans", "Orono", "Standish", "Portland", "Waterville", "Baltimore", "Bowie", "Frostburg", "Frederick", "Baltimore", "Baltimore", "Adelphi", "College Park", "Baltimore", "Emmitsburg", "Salisbury", "Springfield", "Paxton", "Worcester", "Longmeadow", "Waltham", "Chestnut Hill", "Boston", "Waltham", "Bridgewater", "Boston", "Worcester", "Milton", "Fitchburg", "Lowell", "Amherst", "Boston", "Boston", "Salem", "Boston", "Springfield", "North Dartmouth", "Boston", "Springfield", "Worcester", "Worcester", "Berrien Springs", "Mount Pleasant", "Grand Rapids", "Detroit", "Ypsilanti", "Flint", "Grand Rapids", "Southfield", "Ann Arbor", "East Lansing", "Dearborn", "Flint", "Rochester Hills", "University Center", "Adrian", "Spring Arbor", "Detroit", "Kalamazoo", "Minneapolis", "Saint Paul", "Saint Paul", "Saint Paul", "Saint Paul", "Minneapolis", "Saint Paul", "Saint Cloud", "Winona", "Saint Paul", "Saint Paul", "Marshall", "Winona", "Alcorn State", "Jackson", "Cleveland", "Jackson", "University", "Itta Bena", "Clinton", "Mississippi State", "Hattiesburg", "Hattiesburg", "Kansas City", "Warrensburg", "Springfield", "Springfield", "Saint Louis", "Saint Charles", "Saint Louis", "Maryville", "Parkville", "Kansas City", "Saint Louis", "Cape Girardeau", "Springfield", "Saint Louis", "Saint Louis", "Fulton", "Missoula", "Bellevue", "Chadron", "Omaha", "Lincoln", "Omaha", "Wayne", "Las Vegas", "Reno", "Rindge", "Henniker", "Manchester", "Plymouth", "Nashua", "Caldwell", "Hackettstown", "Teaneck", "Lodi", "Lakewood", "Glassboro", "Jersey City", "Union", "West Long Branch", "Montclair", "Newark", "Mahwah", "Lawrenceville", "New Brunswick", "Jersey City", "Hoboken", "Galloway", "Trenton", "Wayne", "Portales", "Las Vegas", "Albuquerque", "Las Cruces", "Hobbs", "Silver City", "Garden City", "Alfred", "Buffalo", "Potsdam", "New York", "New York", "Ithaca", "New York", "Brooklyn", "Bronx", "Buffalo", "Orangeburg", "Bronx", "Hempstead", "New Rochelle", "Keuka Park", "Syracuse", "Brookville", "Riverdale", "Poughkeepsie", "Dobbs Ferry", "Rockville Centre", "Newburgh", "Bronx", "New York", "New York", "Old Westbury", "New York", "New York", "Rochester", "Rochester", "Troy", "Saint Bonaventure", "Albany", "Brooklyn", "Rochester", "Queens", "Albany", "Vestal", "Buffalo", "Stony Brook", "Buffalo", "New Paltz", "Oswego", "Saratoga Springs", "Throggs Neck", "Syracuse", "New York", "Utica", "Staten Island", "Boone", "Buies Creek", "Greenville", "Elon", "Fayetteville", "Boiling Springs", "Hickory", "Montreat", "Greensboro", "Chapel Hill", "Charlotte", "Greensboro", "Durham", "Raleigh", "Wilmington", "Pembroke", "Misenheimer", "Charlotte", "Winston-Salem", "Wingate", "Cullowhee", "Bismarck", "Minot", "Grand Forks", "Fargo", "Akron", "Ashland", "Berea", "Bowling Green", "Columbus", "Cleveland", "Cincinnati", "Cleveland", "Dayton", "Findlay", "University Heights", "Kent", "Painesville", "Sylvania", "Canton", "Oxford", "Mount Vernon", "Cincinnati", "Columbus", "Columbus", "Athens", "Tiffin", "Toledo", "Cincinnati", "Pepper Pike", "North Canton", "Dayton", "Cincinnati", "Youngstown", "Bartlesville", "Bethany", "Edmond", "Tahlequah", "Stillwater", "Oklahoma City", "Norman", "Durant", "Weatherford", "Tulsa", "La Grande", "Newberg", "Eugene", "Corvallis", "Eugene", "Forest Grove", "Portland", "Portland", "Ashland", "Center Valley", "Reading", "Bloomsburg", "Radnor", "California", "Pittsburgh", "Pittsburgh", "Clarion", "Doylestown", "Philadelphia", "Pittsburgh", "Saint Davids", "Erie", "Beaver Falls", "Gwynedd Valley", "Philadelphia", "Indiana", "Philadelphia", "Annville", "Bethlehem", "Lincoln University", "Scranton", "Aston", "University Park", "Philadelphia", "Pittsburgh", "Rosemont", "Loretto", "Scranton", "Greensburg", "Shippensburg", "Slippery Rock", "Philadelphia", "Villanova", "Waynesburg", "West Chester", "Chester", "Wilkes-Barre", "York", "Smithfield", "Providence", "Providence", "Kingston", "Newport", "Anderson", "Charleston", "Central", "Charleston", "Clemson", "Tigerville", "Columbia", "Conway", "Rock Hill", "Sioux Falls", "Vermillion", "Clarksville", "Nashville", "Jefferson City", "Memphis", "Lebanon", "Nashville", "Johnson City", "Bristol", "Cleveland", "Harrogate", "Memphis", "Murfreesboro", "Chattanooga", "Knoxville", "Martin", "Nashville", "Cookeville", "Greeneville", "Jackson", "Abilene", "San Angelo", "Waco", "Austin", "Corpus Christi", "Dallas", "Irving", "Texarkana", "Commerce", "Houston", "Houston", "Houston", "Victoria", "Houston", "San Antonio", "Beaumont", "Laredo", "Longview", "Belton", "Wichita Falls", "Denton", "San Antonio", "Prairie View", "Houston", "Austin", "Houston", "Huntsville", "San Antonio", "Dallas", "Waxahachie", "Nacogdoches", "San Marcos", "Stephenville", "Kingsville", "College Station", "Arlington", "Austin", "Richardson", "El Paso", "Tyler", "Fort Worth", "San Antonio", "Houston", "Lubbock", "Denton", "Plainview", "Canyon", "Provo", "Cedar City", "Logan", "Orem", "Salt Lake City", "Ogden", "Salt Lake City", "Burlington", "Northfield", "Burlington", "Williamsburg", "Virginia Beach", "Harrisonburg", "Fairfax", "Hampton", "Harrisonburg", "Lynchburg", "Lynchburg", "Fredericksburg", "Arlington", "Norfolk", "Winchester", "Blacksburg", "Richmond", "Charlottesville", "Seattle", "Cheney", "Spokane", "Kirkland", "Tacoma", "Lacey", "Seattle", "Pullman", "Seattle", "Bellingham", "Spokane", "Fairmont", "Morgantown", "Milwaukee", "Milwaukee", "Waukesha", "Mequon", "Madison", "Plymouth", "Fond Du Lac", "Milwaukee", "La Crosse", "Eau Claire", "Oshkosh", "Milwaukee", "Platteville", "River Falls", "Laramie", "San Juan", "Carolina", "Gurabo", "West Lafayette", "Oklahoma City", "Irvine", "San Marcos", "Naples", "Seaside", "Salt Lake City", "Fort Myers", "Camarillo", "Los Alamitos", "Augusta"
#> $ locale                        <dbl+lbl> 12, 12, 12, 12, 12, 13, 12, 21, 13, 21, 33, 23, 11, 12, 11, 13, 12, 13, 13, 33, 13, 32, 32, 33, 21, 11, 12, 23, 11, 23, 12, 21, 13, 13, 11, 21, 21, 11, 11, 11, 11, 23, 11, 11, 11, 11, 12, 11, 13, 11, 11, 11, 33, 21, 11, 11, 11, 21, 21, 11, 21, 11, 13, 11, 11, 11, 11, 11, 12, 21, 21, 11, 11, 33, 11, 11, 12, 12, 12, 11, 11, 12, 12, 21, 21, 21, 12, 21, 21, 21, 21, 12, 13, 21, 21, 11, 11, 11, 11, 21, 13, 21, 13, 12, 13, 13, 21, 12, 12, 11, 12, 13, 11, 21, 12, 21, 23, 11, 21, 13, 12, 11, 13, 13, 13, 21, 12, 11, 11, 32, 32, 32, 12, 32, 13, 31, 11, 11, 11, 12, 13, 32, 22, 21, 12, 21, 11, 32, 21, 41, 11, 21, 22, 12, 21, 11, 21, 11, 12, 11, 23, 13, 11, 23, 11, 12, 11, 21, 21, 11, 13, 21, 33, 13, 13, 11, 32, 11, 22, 13, 41, 32, 11, 21, 13, 13, 13, 12, 12, 43, 31, 33, 33, 11, 13, 11, 13, 21, 32, 31, 32, 12, 11, 11, 32, 33, 42, 13, 12, 32, 13, 11, 13, 13, 13, 12, 12, 11, 23, 41, 13, 41, 11, 21, 23, 13, 11, 11, 21, 21, 11, 31, 23, 12, 41, 12, 21, 13, 13, 11, 13, 21, 11, 12, 21, 22, 21, 21, 11, 11, 21, 11, 12, 22, 11, 12, 12, 12, 31, 32, 21, 11, 21, 13, 12, 13, 12, 13, 13, 13, 21, 22, 32, 23, 11, 13, 11, 21, 11, 11, 11, 11, 21, 13, 32, 11, 11, 33, 32, 43, 12, 33, 12, 33, 33, 21, 33, 13, 13, 11, 32, 12, 12, 21, 13, 21, 33, 21, 11, 11, 13, 12, 21, 21, 32, 13, 21, 33, 11, 11, 11, 32, 12, 11, 41, 42, 22, 33, 13, 21, 21, 21, 21, 13, 21, 11, 21, 21, 21, 11, 21, 21, 13, 11, 21, 22, 13, 21, 33, 33, 11, 22, 41, 33, 21, 33, 11, 33, 11, 11, 13, 11, 11, 11, 11, 21, 11, 21, 21, 32, 21, 21, 11, 21, 21, 21, 13, 11, 11, 11, 21, 11, 11, 21, 21, 13, 33, 13, 11, 21, 11, 13, 22, 21, 21, 11, 21, 32, 23, 11, 12, 11, 13, 11, 32, 31, 13, 22, 12, 32, 13, 21, 11, 13, 11, 11, 11, 11, 12, 32, 42, 11, 12, 21, 32, 41, 33, 13, 12, 12, 31, 21, 31, 21, 11, 11, 11, 12, 32, 21, 21, 21, 21, 13, 31, 32, 21, 11, 11, 32, 32, 11, 11, 21, 21, 21, 11, 13, 32, 21, 21, 33, 32, 11, 22, 32, 33, 11, 33, 31, 12, 13, 12, 21, 11, 11, 22, 41, 13, 13, 21, 23, 11, 11, 33, 21, 11, 11, 21, 13, 21, 21, 11, 32, 11, 23, 13, 21, 13, 21, 13, 11, 11, 21, 31, 13, 21, 31, 32, 11, 21, 32, 21, 21, 13, 22, 21, 12, 12, 21, 21, 13, 12, 21, 12, 21, 41, 12, 13, 13, 12, 32, 12, 11, 23, 11, 31, 11, 13, 13, 13, 32, 11, 12, 12, 12, 33, 11, 33, 32, 13, 12, 12, 12, 11, 11, 11, 12, 41, 32, 11, 21, 11, 13, 11, 11, 12, 11, 13, 23, 12, 12, 11, 32, 11, 11, 11, 32, 11, 21, 21, 33, 13, 33, 32, 12, 11, 11, 12, 11, 12, 11, 11, 11, 11, 12, 33, 31, 12, 33, 13, 13, 12, 13, 12, 13, 32, 13, 23, 11, 13, 21, 12, 13, 13, 13, 22, 12, 12, 13, 13, 12, 23, 11, 31, 12, 21, 21, 13, 11, 32, 11, 13, 21, 32, 13, 11, 21, 13, 21, 11, 41, 13, 11, 13, 13, 13, 11, 32, 32, 33, 11, 21, 21, 13, 11, 11, 21, 21, 22, 21, 21, 22, 21, 12
#> $ urban                         <dbl+lbl> 2, 2, 2, 2, 2, 2, 2, 3, 2, 3, 4, 3, 1, 2, 1, 2, 2, 2, 2, 4, 2, 4, 4, 4, 3, 1, 2, 3, 1, 3, 2, 3, 2, 2, 1, 3, 3, 1, 1, 1, 1, 3, 1, 1, 1, 1, 2, 1, 2, 1, 1, 1, 4, 3, 1, 1, 1, 3, 3, 1, 3, 1, 2, 1, 1, 1, 1, 1, 2, 3, 3, 1, 1, 4, 1, 1, 2, 2, 2, 1, 1, 2, 2, 3, 3, 3, 2, 3, 3, 3, 3, 2, 2, 3, 3, 1, 1, 1, 1, 3, 2, 3, 2, 2, 2, 2, 3, 2, 2, 1, 2, 2, 1, 3, 2, 3, 3, 1, 3, 2, 2, 1, 2, 2, 2, 3, 2, 1, 1, 4, 4, 4, 2, 4, 2, 4, 1, 1, 1, 2, 2, 4, 3, 3, 2, 3, 1, 4, 3, 4, 1, 3, 3, 2, 3, 1, 3, 1, 2, 1, 3, 2, 1, 3, 1, 2, 1, 3, 3, 1, 2, 3, 4, 2, 2, 1, 4, 1, 3, 2, 4, 4, 1, 3, 2, 2, 2, 2, 2, 4, 4, 4, 4, 1, 2, 1, 2, 3, 4, 4, 4, 2, 1, 1, 4, 4, 4, 2, 2, 4, 2, 1, 2, 2, 2, 2, 2, 1, 3, 4, 2, 4, 1, 3, 3, 2, 1, 1, 3, 3, 1, 4, 3, 2, 4, 2, 3, 2, 2, 1, 2, 3, 1, 2, 3, 3, 3, 3, 1, 1, 3, 1, 2, 3, 1, 2, 2, 2, 4, 4, 3, 1, 3, 2, 2, 2, 2, 2, 2, 2, 3, 3, 4, 3, 1, 2, 1, 3, 1, 1, 1, 1, 3, 2, 4, 1, 1, 4, 4, 4, 2, 4, 2, 4, 4, 3, 4, 2, 2, 1, 4, 2, 2, 3, 2, 3, 4, 3, 1, 1, 2, 2, 3, 3, 4, 2, 3, 4, 1, 1, 1, 4, 2, 1, 4, 4, 3, 4, 2, 3, 3, 3, 3, 2, 3, 1, 3, 3, 3, 1, 3, 3, 2, 1, 3, 3, 2, 3, 4, 4, 1, 3, 4, 4, 3, 4, 1, 4, 1, 1, 2, 1, 1, 1, 1, 3, 1, 3, 3, 4, 3, 3, 1, 3, 3, 3, 2, 1, 1, 1, 3, 1, 1, 3, 3, 2, 4, 2, 1, 3, 1, 2, 3, 3, 3, 1, 3, 4, 3, 1, 2, 1, 2, 1, 4, 4, 2, 3, 2, 4, 2, 3, 1, 2, 1, 1, 1, 1, 2, 4, 4, 1, 2, 3, 4, 4, 4, 2, 2, 2, 4, 3, 4, 3, 1, 1, 1, 2, 4, 3, 3, 3, 3, 2, 4, 4, 3, 1, 1, 4, 4, 1, 1, 3, 3, 3, 1, 2, 4, 3, 3, 4, 4, 1, 3, 4, 4, 1, 4, 4, 2, 2, 2, 3, 1, 1, 3, 4, 2, 2, 3, 3, 1, 1, 4, 3, 1, 1, 3, 2, 3, 3, 1, 4, 1, 3, 2, 3, 2, 3, 2, 1, 1, 3, 4, 2, 3, 4, 4, 1, 3, 4, 3, 3, 2, 3, 3, 2, 2, 3, 3, 2, 2, 3, 2, 3, 4, 2, 2, 2, 2, 4, 2, 1, 3, 1, 4, 1, 2, 2, 2, 4, 1, 2, 2, 2, 4, 1, 4, 4, 2, 2, 2, 2, 1, 1, 1, 2, 4, 4, 1, 3, 1, 2, 1, 1, 2, 1, 2, 3, 2, 2, 1, 4, 1, 1, 1, 4, 1, 3, 3, 4, 2, 4, 4, 2, 1, 1, 2, 1, 2, 1, 1, 1, 1, 2, 4, 4, 2, 4, 2, 2, 2, 2, 2, 2, 4, 2, 3, 1, 2, 3, 2, 2, 2, 2, 3, 2, 2, 2, 2, 2, 3, 1, 4, 2, 3, 3, 2, 1, 4, 1, 2, 3, 4, 2, 1, 3, 2, 3, 1, 4, 2, 1, 2, 2, 2, 1, 4, 4, 4, 1, 3, 3, 2, 1, 1, 3, 3, 3, 3, 3, 3, 3, 2
#> $ cipdig2                       <chr> "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52"
#> $ cipcode                       <chr> "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", 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#> $ creddesc                      <chr> "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's 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Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "...
#> $ ipedscount1                   <dbl> 30, 115, 23, 95, 152, 210, 31, 23, 116, 44, 134, 42, 13, 444, 212, 118, 62, 123, 58, 15, 45, 66, 127, 22, 22, 168, 83, 24, 47, 55, 139, 17, 30, 55, 78, 168, 158, 103, 36, 43, 164, 155, 251, 862, 73, 126, 101, 73, 36, 12, 106, 11, 22, 370, 36, 37, 336, 37, 9, 44, 589, 79, 520, 211, 127, 73, 103, 114, 151, 162, 64, 640, 66, 29, 273, 91, 139, 67, 312, 44, 345, 96, 109, 29, 253, 21, 120, 148, 266, 65, 7, 67, NA, 159, 79, 56, 20, 372, 28, 85, 245, 81, 43, 49, 243, 374, 597, 34, 724, 25, 130, 232, 113, 706, 65, 134, 764, 127, 119, 65, 48, 164, 86, 24, 105, 77, 25, 399, 308, 15, 21, 103, 245, 37, 32, 100, 33, 142, 80, 120, 56, 14, 33, 87, 24, 91, 158, 48, 63, 17, 213, 434, 43, 65, 213, 215, 90, 77, 35, 110, 215, 468, 20, 79, 170, 49, 143, 69, 48, 43, 56, 65, 42, 102, 24, 63, 32, 74, 36, 48, 9, NA, 101, 40, 143, 64, 271, 44, 104, 105, 192, 45, 53, 97, 119, 45, 39, 43, 30, 87, 45, 44, 80, 51, 8, 66, 32, 128, 131, 51, 28, 76, 42, 24, 60, 44, 78, 68, 25, 19, 26, 49, 146, 0, 75, 42, 117, 122, 1934, 493, 76, 73, 40, 32, 31, 90, 86, 72, 239, 568, 140, 14, 94, 102, 32, 40, 219, 382, 124, NA, 36, 60, 22, 162, 111, 50, 74, 17, 23, 430, 338, 52, 40, 70, 44, 51, 787, 264, 65, 59, 117, 34, 27, 90, 166, 96, 72, 33, 93, 113, 72, 523, 45, 47, 160, 348, 50, 83, 27, 23, 194, 82, 19, 83, 22, 23, 93, 61, 45, 47, 29, 28, 18, 53, 42, 74, 53, 172, 158, 120, 56, 319, 407, 2045, 92, 52, 345, 73, 103, 87, 18, 23, 82, 122, 27, 24, 1408, 80, 23, 19, 62, 263, 20, 33, 56, 28, 30, 61, 108, 83, 34, 56, NA, 13, 134, 48, 74, 73, 95, 75, 175, 79, 18, 14, 144, 27, 103, 81, 158, 1205, 666, 130, 129, 37, 15, 11, 299, 74, 41, 24, 51, 57, NA, 58, 194, 53, 27, 9, 38, 1062, 208, 33, 28, 29, 120, 46, 60, 46, 36, 69, 126, 102, 101, 217, 71, 23, 29, 113, 71, 82, 162, 22, 17, 25, 62, 70, 191, 30, 40, 56, 45, 25, 16, 742, 128, 55, 32, 225, 53, 24, 83, 132, 291, 49, 56, 118, 32, 43, 31, 103, 183, 70, 21, 75, 159, 179, 218, 88, 195, 55, 61, 79, 18, 62, 53, 85, 24, 93, 344, 284, 49, 96, 43, 11, 66, 155, 138, 50, 78, 130, 45, 53, 140, 41, 118, 30, 47, 36, 43, 61, 33, 99, 159, 14, 94, 44, 34, 123, 58, 21, 10, 74, 54, 20, 33, 26, 19, 184, 75, 47, 49, NA, 38, 176, 57, 32, 35, 12, 21, 50, 88, 545, 103, 35, 49, 110, 42, 105, 27, 228, 373, 79, 78, 48, 77, 17, 8, 255, 87, 94, 63, 42, 71, 39, 46, 158, 48, 176, 52, 59, 51, 97, 32, 18, 36, 47, 52, 117, 73, 172, 28, 42, 133, 102, 103, 233, 38, 46, 77, 38, 66, NA, 26, 198, 58, 258, 206, 168, 62, 437, 51, 82, 283, 155, 287, 387, 63, 45, 33, 28, 20, 127, 102, 63, 331, 121, 99, 91, 28, 150, 10, 15, 107, 111, 43, 295, 303, 658, 337, 94, 350, 143, 100, 80, 276, 365, 216, 233, 228, 29, 126, 0, 298, 57, 114, 203, 179, 16, 182, 61, 21, 139, 29, 39, 1498, 36, 28, 43, 40, 35, 96, 102, 424, 208, 30, 152, 28, 40, 48, 237, 288, 407, 21, 33, 19, 34, 15, 172, 15, 135, 32, 115, 34, 105, 59, 55, 79, 243, 115, 45, 42, 120, 44, 159, 336, 89, 432, 46, 36, 75, 2336, 40, 40, NA, 38
#> $ ipedscount2                   <dbl> 27, 133, 23, 89, 185, 247, 74, 19, 182, 48, 126, 34, 28, 299, 214, 121, 66, 128, 42, 8, 65, 56, 99, 38, 38, 235, 91, 38, 33, 69, 134, 24, 34, 58, 69, 99, 168, 131, 43, 49, 114, 172, 231, 808, 94, 120, 117, 59, 25, 11, 80, 13, 29, 393, 20, 29, 282, 54, 17, 32, 608, 85, 426, 169, 132, 81, 132, 118, 131, 151, 62, 670, 74, 29, 290, 88, 152, 92, 307, 55, 297, 88, 108, 27, 277, 38, 101, 130, 267, 82, 17, 59, NA, 140, 631, 117, 16, 381, 20, 130, 240, 67, 41, 58, 274, 386, 620, 33, 715, 37, 138, 239, 110, 686, 39, 182, 771, 148, 126, 46, 76, 139, 126, 27, 68, 83, 26, 421, 347, 29, 37, 118, 255, 23, 40, 101, 64, 127, 58, 145, 60, 9, 35, 106, 36, 169, 192, 55, 70, 29, 195, 345, 54, 37, 211, 207, 78, 23, 25, 79, 243, 481, 27, 67, 177, 38, 123, 52, 56, 28, 71, 67, 38, 109, 45, 46, 48, 83, 144, 70, 6, NA, 78, 27, 139, 67, 321, 51, 70, 123, 142, 37, 50, 89, 179, 41, 43, 69, 37, 113, 34, 23, 48, 48, 16, 106, 45, 180, 147, 47, 26, 53, 27, 36, 60, 48, 46, 64, 28, 15, 39, 57, 132, 0, 70, 32, 137, 141, 2309, 499, 46, 67, 36, 28, 20, 70, 93, 131, 248, 598, 87, 17, 66, 96, 29, 61, 257, 418, 132, NA, 23, 31, 17, 135, 119, 54, 54, 34, 18, 394, 296, 52, 45, 54, 46, 51, 763, 304, 56, 68, 99, 36, 24, 87, 261, 98, 145, 49, 160, 123, 65, 492, 45, 32, 229, 263, 52, 94, 25, 27, 281, 77, 33, 88, 22, 25, 96, 54, 21, 55, 32, 29, 14, 61, 80, 56, 46, 187, 185, 98, 43, 287, 367, 1790, 73, 68, 294, 74, 95, 120, 16, 20, 80, 129, 27, 50, 2074, 41, 30, 0, 81, 228, 13, 27, 71, 51, 24, 99, 140, 66, 30, 80, NA, 17, 123, 57, 86, 95, 74, 84, 193, 54, 23, 22, 158, 29, 100, 79, 133, 1216, 684, 163, 151, 34, 6, 12, 258, 72, 45, 35, 59, 135, NA, 48, 222, 47, 34, 17, 48, 1078, 274, 26, 40, 41, 134, 42, 55, 55, 29, 88, 138, 137, 118, 189, 48, 25, 27, 75, 117, 75, 344, 25, 44, 18, 55, 58, 209, 39, 60, 50, 54, 28, 25, 793, 98, 50, 23, 261, 74, 27, 61, 77, 270, 31, 63, 135, 42, 27, 24, 64, 225, 94, 21, 62, 156, 197, 225, 72, 158, 63, 71, 57, 21, 60, 50, 70, 42, 67, 308, 361, 56, 86, 42, 9, 39, 163, 139, 61, 44, 117, 27, 22, 144, 113, 134, 55, 34, 37, 43, 85, 34, 82, 214, 11, 108, 57, 30, 128, 58, 26, 20, 75, 58, 23, 39, 42, 26, 153, 66, 40, 24, 35, 54, 188, 45, 37, 54, 18, 14, 34, 116, 549, 126, 41, 29, 124, 31, 104, 14, 358, 265, 57, 132, 57, 49, 8, 24, 266, 97, 90, 74, 58, 79, 26, 42, 188, 39, 182, 46, 77, 92, 69, 30, 17, 56, 32, 48, 137, 55, 103, 32, 58, 119, 78, 121, 224, 35, 38, 88, 37, 44, 24, 62, 202, 92, 240, 82, 154, 52, 375, 32, 82, 434, 175, 255, 405, 68, 67, 27, 28, 18, 143, 76, 69, 315, 95, 107, 79, 34, 185, 24, 16, 87, 109, 45, 302, 390, 645, 373, 99, 393, 129, 119, 58, 239, 356, 207, 279, 223, 38, 138, 18, 305, 88, 102, 259, 171, 23, 302, 103, 16, 137, 29, 38, 1468, 29, 44, 52, 47, 47, 135, 98, 463, 134, 48, 159, 33, 28, 32, 212, 289, 401, 55, 28, 13, 42, 23, 140, 37, 229, 28, 119, 33, 126, 50, 73, 86, 217, 119, 31, 62, 114, 49, 170, 307, 68, 374, 60, 19, 79, 3209, 34, 39, NA, 31
#> $ debt_all_stgp_eval_n          <dbl> 43, 70, 17, 39, 103, 139, 61, 14, 105, 10, 77, 22, 14, 409, 172, 123, 43, 97, 25, 11, 28, 39, 121, 16, NA, 110, 11, 16, 24, 65, 110, 10, 19, 38, 83, 71, 87, 99, 33, 40, 119, 123, 222, 509, 27, 59, 67, 48, 25, 15, 38, 14, 26, 116, 32, 57, 241, 41, 12, 11, 330, 77, 402, 73, 69, 46, 78, 34, 73, 120, 32, 464, 62, 25, 232, 73, 102, 64, 137, 26, 226, 57, 60, 17, 96, 13, 40, 17, 200, 30, 11, 74, NA, 69, 29, 121, 16, 226, 44, 60, 203, 64, 270, 56, 285, 146, 728, 38, 619, 18, 204, 170, 81, 874, 15, 130, 903, 186, 94, 27, 35, 80, 50, 41, 118, 85, 22, 160, 288, 26, 22, 86, 146, 26, 24, 97, 26, 49, 20, 106, 37, 15, 36, 105, 16, 112, 308, 24, 46, 20, 78, 435, 20, 22, 46, 128, 65, 48, 18, 57, 146, 121, 12, 70, 225, 15, 119, 63, 44, 33, 31, 33, 25, 116, 39, 14, 34, 53, 54, 43, 11, 475, 94, 30, 101, 50, 50, 32, 55, 86, 123, 21, 27, 111, 74, 15, 23, 56, 17, 73, 31, 16, 32, 12, 15, 48, 48, 70, 35, 25, 12, 68, 14, 12, 50, 64, 24, 31, 17, 12, 29, 39, 101, NA, 45, 16, 56, 67, 1463, 302, 40, 38, 22, 36, 17, 55, 43, 49, 124, 285, 56, 12, 32, 29, 31, 30, 79, 131, 65, 113, 10, 45, 40, 41, 82, 20, 21, 10, 14, 227, 369, 33, 42, 26, 19, 23, 527, 222, 27, 38, 44, 12, 32, 23, 130, 45, 101, 35, 203, 104, 61, 363, 26, 23, 180, 203, 42, 14, 12, 27, 285, 21, 30, 17, 14, 24, 48, 23, 15, 42, 18, 18, 18, 52, 36, 71, 31, 150, 103, 56, 26, 30, 231, 1030, 75, 44, 284, 47, 44, 40, 20, 11, 65, 64, 25, 11, 1836, 36, 11, 15, 47, 184, 11, 33, 46, 31, 18, 62, 122, 55, 15, 33, 354, 14, 23, 38, 34, 33, 55, 65, 113, 45, 27, 17, 62, 32, 77, 57, 59, 679, 432, 110, 79, 35, 10, 13, 201, 47, 18, 32, 41, 104, NA, 31, 283, 46, 36, 10, 39, 698, 23, 25, 22, 35, 76, 42, 52, 53, 58, 79, 73, 74, 81, 133, 30, 20, 13, 80, 30, 64, 227, 16, 28, 11, 53, 47, 93, 36, 13, 53, 39, 24, 34, 615, 73, 34, 31, 157, 44, 29, 83, 102, 284, 21, 48, 49, 28, 13, 11, 39, 83, 65, 25, 43, 97, 79, 187, 32, 80, 32, 41, 46, 17, 67, 34, 34, 36, 41, 172, 338, 19, 28, 52, 11, 65, 114, 93, 47, 73, 188, 21, 19, 38, 26, 62, 26, 21, 15, 42, 83, 26, 40, 93, 16, 85, 32, 18, 39, 70, 26, 15, 96, 60, 12, 30, 18, 12, 114, 66, 20, 43, NA, 33, 51, 29, 13, 10, 25, 13, 44, 264, 192, 98, 37, 21, 80, 39, 81, 21, 268, 217, 43, 20, 28, 41, 10, 13, 338, 32, 38, 41, 55, 84, 33, 44, 131, 24, 136, 50, 55, 43, 55, 18, 15, 25, 27, 43, 121, 43, 166, 28, 13, 69, 77, 102, 102, 33, 38, 46, 40, 29, 13, 31, 175, 85, 113, 126, 146, 50, 328, 41, 53, 430, 133, 189, 297, 34, 36, 39, 25, 13, 79, 109, 89, 159, 120, 46, 63, 15, 99, 16, 11, 68, 96, 34, 206, 112, 515, 260, 89, 363, 88, 114, 73, 224, 317, 49, 39, 174, 23, 126, 12, 331, 29, 97, 99, 131, 23, 273, 85, 11, 126, 17, 15, 1422, 12, 14, 42, 29, 29, 107, 80, 130, 95, 37, 145, 23, 35, 26, 93, 173, 319, 32, 24, 15, 36, 22, 133, 14, 79, 20, 104, 28, 66, 52, 47, 26, 205, 73, 20, 31, 190, 77, 194, 139, 63, 120, 46, 28, 97, 2793, 15, 37, NA, 17
#> $ debt_all_stgp_eval_mean       <dbl> 52786, 34809, 57391, 23490, 33702, 45043, 25746, 23741, 34435, 36208, 35222, 18609, 32751, 53331, 46475, 37774, 39396, 36890, 33280, 27041, 18850, 50917, 33947, 24395, 45105, 25055, 44637, 28459, 24194, 29764, 44983, 32450, 27309, 25364, 35740, 32847, 32289, 40489, 33635, 35518, 31341, 78722, 75797, 94907, 69106, 92329, 77683, 33909, 42056, 28494, 43593, 49884, 18474, 55271, 48004, 43432, 39166, 45746, 38245, 45086, 85488, 40573, 41659, 53791, 53606, 49740, 64014, 33097, 63320, 66197, 33413, 90863, 55190, 41696, 54107, 45864, 52606, 32775, 43079, 47627, 45702, 38925, 43672, 31072, 50394, 30353, 28170, 23286, 32094, 26086, 26219, 33155, 24887, 32145, 32454, 82305, 34523, 73706, 44196, 46170, 31836, 40832, 38774, 33781, 41299, 37229, 61948, 35219, 42288, 35796, 53568, 78441, 32532, 58397, 30191, 48737, 49500, 34506, 42128, 41970, 28529, 37387, 30974, 41615, 45059, 36864, 30022, 67654, 72904, 24888, 27313, 29145, 60313, 23945, 35938, 24516, 36818, 48243, 40165, 37046, 29206, 46580, 33792, 32889, 30407, 32987, 49858, 19189, 31184, 47748, 51612, 37560, 25983, 35058, 40212, 70801, 29099, 43536, 44064, 29802, 35565, 115085, 16352, 29532, 29769, 33538, 45919, 58676, 32370, 54106, 37186, 26607, 27378, 36660, 27910, 37614, 21798, 29759, 21150, 25933, 22667, 43581, 26771, 71324, 18044, 31717, 36016, 40108, 47005, 39826, 40447, 18969, 26622, 37559, 28375, 19449, 37964, 33223, 16158, 33456, 30106, 30300, 22733, 39674, 25646, 16495, 28062, 33261, 42167, 19390, 19161, 31462, 21920, 28040, 23919, 52835, 31409, 86004, 22514, 26949, 28120, 24223, 50206, 43302, 29451, 29447, 42303, 52451, 48683, 71997, 36372, 23299, 22413, 25905, 21519, 25897, 35295, 32001, 54629, 54938, 65071, 25152, 29275, 31584, 39962, 16356, 29783, 35909, 31521, 38243, 27982, 63481, 27333, 32099, 55207, 30851, 42877, 11534, 49477, 34620, 45588, 58395, 44508, 29613, 30226, 53963, 75835, 49492, 34958, 40484, 34826, 40699, 28953, 30867, 37314, 40331, 39848, 40789, 32907, 44973, 41362, 61641, 29747, 29565, 33201, 46539, 44147, 24935, 26959, 55318, 46665, 22669, 25431, 21836, 40450, 36810, 28308, 24687, 28327, 30220, 24508, 20174, 26806, 41010, 30288, 33408, 18760, 36312, 30871, 42197, 18464, 23271, 83004, 48541, 17022, 37627, 46041, 25245, 27993, 35220, 17646, 17483, 41433, 24577, 24658, 33552, 41764, 43370, 21463, 30603, 35516, 32413, 33066, 26841, 29738, 34036, 38519, 26480, 38773, 52577, 39986, 37756, 58003, 37905, 37490, 27611, 27858, 32282, 30592, 27982, 32262, 25228, 33775, 35911, 37825, 31189, 35251, 38878, 45583, 96404, 103940, 41180, 21140, 25494, 35206, 36967, 61366, 68684, 36160, 29684, 24488, 62378, 31142, 32158, 39417, 30826, 30448, 64540, 65931, 108756, 50291, 28032, 57033, 39780, 46166, 35910, 20740, 31115, 33376, 38691, 39279, 31091, 24906, 39714, 50457, 30777, 22549, 26815, 49652, 38874, 72043, 36839, 26327, 43400, 24066, 29088, 30560, 53096, 31770, 34639, 34416, 40033, 37718, 82256, 35172, 29126, 72096, 39131, 34506, 32838, 31445, 47404, 58952, 29195, 28638, 26845, 17049, 17792, 19643, 47648, 30553, 35432, 40630, 37093, 67417, 36609, 36710, 19834, 30131, 27525, 45112, 30257, 37933, 25934, 30825, 29624, 27384, 34061, 54667, 38101, 27889, 45084, 29725, 30993, 34975, 40584, 35144, 27664, 31741, 32434, 36115, 25023, 23724, 41289, 43076, 21864, 27464, 17326, 28483, 38628, 30467, 46301, 70112, 48357, 43448, 41931, 30620, 38096, 31265, 23027, 24826, 29559, 36562, 43186, 32164, 29922, 39198, 44934, 37548, 33003, 30400, 30482, 33840, 27606, 40893, 20648, 39964, 32382, 41948, 31087, 41759, 75053, 36322, 33409, 35952, 40743, 38313, 24394, 22725, 59699, 42594, 21986, 23543, 43508, 35725, 30131, 28761, 26780, 23146, 32884, 18177, 32904, 37679, 28439, 39577, 38175, 23277, 42920, 23958, 32480, 23774, 25994, 29779, 40278, 24717, 31936, 24026, 42679, 27956, 36097, 25231, 46243, 37355, 29851, 31972, 42392, 31782, 32137, 18227, 19862, 40209, 38262, 21266, 61912, 37470, 15825, 51231, 53082, 17257, 30727, 38897, 33687, 36036, 37176, 40793, 38107, 25813, 19386, 42643, 28292, 26507, 25568, 40349, 41495, 37571, 46381, 42706, 32291, 29374, 98533, 33095, 24289, 23171, 31691, 18003, 42279, 34786, 76933, 43771, 33542, 32722, 48179, 33228, 55101, 36602, 30959, 39901, 32213, 34769, 17187, 29524, 27924, 47357, 28833, 46724, 23823, 41805, 41646, 53205, 46077, 17807, 45767, 28066, 33612, 35797, 20011, 38678, 60317, 34468, 34692, 42354, 48268, 93771, 45479, 29541, 39559, 37081, 40758, 42205, 48903, 40953, 56548, 30873, 32321, 28296, 27806, 28736, 34497, 23523, 31949, 39286, 36781, 33436, 48567, 31157, 36686, 34211, 31152, 31396, 24716, 34723, 38253, 28452, 30343, 48169, 39162, 50094, 37850, 38400, 40744, 14716, 18275, 33804, 24491, 33735
#> $ debt_all_stgp_eval_mdn        <dbl> 50311, 30624, NA, 20004, 35889, 41000, 27500, NA, 34250, NA, 30750, 15400, NA, 44700, 41000, 29753, 40557, 38677, 33286, NA, 20500, 34760, 29743, NA, 46431, 23917, NA, NA, 23414, 31035, 43700, NA, 27500, 20500, 39656, 30728, 34166, 41000, 38662, 31756, 30750, 81000, 72389, 86864, 52347, 94019, 78548, 32699, 41000, NA, 41000, NA, 20500, 51548, 43380, 40500, 40394, 46750, NA, NA, 91630, 41000, 41000, 53604, 47808, 49626, 49450, 31500, 63550, 59380, 41000, 79041, 51250, 43252, 52152, 39681, 51807, 32518, 42500, 44866, 41000, 39934, 41000, NA, 41000, NA, 20500, NA, 30393, 20500, NA, 34572, NA, 30750, 32500, 85000, NA, 65500, 45001, 41000, 29871, 39801, 34560, 33750, 41000, 32000, 61469, 36958, 38524, NA, 53024, 77865, 30750, 51250, NA, 41000, 54454, 31158, 27142, 39448, 30048, 40678, 28646, 40308, 41000, 41000, 30842, 61500, 79888, 20206, 22000, 29000, 58726, 20833, 32950, 20500, 35398, 45836, 41000, 40529, 23451, NA, 36149, 32825, NA, 30509, 48500, 18178, 31025, 51250, 49500, 34580, 25200, 40100, 35778, 61500, 29015, 41000, NA, 29700, 32046, 106803, NA, 33900, 28500, NA, 42300, 50607, 31626, 50718, 40516, 19485, 20794, 36960, 29303, NA, 24458, 30893, 18516, 26739, NA, 45581, 25028, 50048, 14500, 29964, 40268, 39964, 45641, 46322, 43770, 19706, 23774, 40916, 28930, NA, 31727, 35933, NA, 38525, 30050, NA, 21000, NA, NA, 13098, 25991, 30750, 41000, 18007, NA, 34750, NA, NA, 21054, 51250, 30750, 98616, NA, NA, 20298, 20500, 41000, NA, 20800, NA, 39000, 50339, 46000, 68411, 39210, 20945, 23014, 22926, NA, 24163, 36979, 27502, 46711, 49318, 65000, NA, 27255, 20500, 41000, 17307, 27257, 32926, 30750, 37380, NA, 61500, 26262, 20500, 50646, 27333, 41000, NA, NA, 34689, 34000, 36722, 40007, 32280, 36805, 57796, 51250, 51250, 31596, 37294, 34100, NA, 30519, 27333, 38000, 36500, 37199, 41000, 36083, 41000, 38622, 60249, 34075, 27934, 33885, 43105, 44200, NA, NA, 41000, 47706, 23983, 20500, NA, NA, 31000, 20500, 25800, NA, 32197, NA, NA, NA, 41000, 28700, 32295, 18622, 34687, 27200, 40000, 17916, 20350, 77292, 46812, 16615, 31353, 41000, 26041, 28895, 33933, 17300, NA, 37106, 20500, 25570, NA, 40969, 41000, NA, NA, 40692, 30166, NA, 28072, 28750, 36500, NA, 20500, 40902, 50352, NA, 34750, 53414, NA, 34732, 21558, 27768, 32238, 30550, 27462, 29017, 22801, 34166, NA, 35750, 30500, 34167, 42729, 38500, 69500, 111446, 40977, 18580, 23174, NA, NA, 50451, 59132, NA, 33258, 20500, 65000, 31721, 26720, 35875, 30500, 27417, NA, 57930, 95353, 41000, 27750, 61500, 41000, 45268, 35826, 20500, 30500, 30500, 30290, 33672, 31874, 20500, 40000, 38523, 30750, NA, 22747, 51935, 34029, 70653, NA, 25000, NA, 20602, 24375, 25500, 49805, NA, 34839, 34240, 41000, 40316, 74873, 31486, 30574, 60065, 41000, 40445, 30761, 33698, 41814, 57519, 28910, 30193, 29029, 15780, NA, NA, 39806, 26252, 36659, 43491, 33705, 65000, 30750, 34962, 19092, 28518, 20500, 38605, 28607, NA, 25978, 33077, 32675, 24787, 30216, 47440, 41000, 30833, 41525, 30750, NA, 31333, 34133, 35004, 26584, 34166, 36163, 35500, 25356, 17197, 33069, 40460, 22851, 29473, NA, 31000, 41000, 29542, 37249, 70874, NA, 41000, 44312, NA, 41325, 29202, 23500, NA, 27533, 39220, NA, 30149, NA, NA, 42993, 41000, 36343, 32894, 35500, 35875, 26500, 29035, NA, NA, 33821, NA, 34123, 41000, 41000, 36114, 30000, 30750, 42553, 26500, 21195, 20500, 44750, 39907, 22705, 20500, 41000, 37289, NA, NA, 27735, 20500, 30750, 17490, 33848, 37848, 30871, 40808, 39057, 23756, 41000, 20500, 33322, 20500, 20992, NA, NA, 25414, 36527, 25546, 36614, 25281, 41000, 25525, NA, 29011, 26200, 30394, 38500, 29194, 28959, 12725, 17574, 30069, NA, 20500, 57000, 41000, 15199, 51250, 54678, 15488, 27956, 41000, 32302, 40370, 34724, 41000, 37584, 27582, 17800, 42173, 28577, NA, 21350, 41000, 41000, 30750, 43750, 41000, 34961, NA, 90123, NA, NA, 20359, 29604, 18000, 36453, 29203, 82067, 41200, 34418, 34166, 41000, 24666, 53184, 36979, 30552, 36995, 33245, 41000, 13850, 28000, NA, 41000, 30000, 44417, 20500, 39350, 44879, 47060, 41000, NA, 40899, NA, NA, 34166, NA, NA, 61500, 30750, 34936, 35682, 41000, 85690, 47559, 29892, 34644, 40999, 41208, 41000, 41000, 37500, 55437, 30200, 34167, NA, 22500, 29122, 37649, NA, 25319, 36832, 40940, 35500, 37474, 28840, 32650, 37824, 25823, 32720, 25194, 30731, 36007, 29172, 29917, 43811, 41000, 52120, 39940, 30000, 41470, 13319, NA, 30978, 22866, NA
#> $ debt_all_stgp_eval_mdn10yrpay <dbl> 517, 314, NA, 205, 368, 421, 282, NA, 352, NA, 316, 158, NA, 459, 421, 305, 416, 397, 342, NA, 210, 357, 305, NA, 477, 246, NA, NA, 240, 319, 449, NA, 282, 210, 407, 316, 351, 421, 397, 326, 316, 832, 743, 892, 537, 965, 807, 336, 421, NA, 421, NA, 210, 529, 445, 416, 415, 480, NA, NA, 941, 421, 421, 550, 491, 510, 508, 323, 653, 610, 421, 812, 526, 444, 535, 407, 532, 334, 436, 461, 421, 410, 421, NA, 421, NA, 210, NA, 312, 210, NA, 355, NA, 316, 334, 873, NA, 673, 462, 421, 307, 409, 355, 347, 421, 329, 631, 379, 396, NA, 544, 799, 316, 526, NA, 421, 559, 320, 279, 405, 309, 418, 294, 414, 421, 421, 317, 631, 820, 207, 226, 298, 603, 214, 338, 210, 363, 471, 421, 416, 241, NA, 371, 337, NA, 313, 498, 187, 319, 526, 508, 355, 259, 412, 367, 631, 298, 421, NA, 305, 329, 1097, NA, 348, 293, NA, 434, 520, 325, 521, 416, 200, 214, 379, 301, NA, 251, 317, 190, 275, NA, 468, 257, 514, 149, 308, 413, 410, 469, 476, 449, 202, 244, 420, 297, NA, 326, 369, NA, 396, 309, NA, 216, NA, NA, 134, 267, 316, 421, 185, NA, 357, NA, NA, 216, 526, 316, 1013, NA, NA, 208, 210, 421, NA, 214, NA, 400, 517, 472, 702, 403, 215, 236, 235, NA, 248, 380, 282, 480, 506, 667, NA, 280, 210, 421, 178, 280, 338, 316, 384, NA, 631, 270, 210, 520, 281, 421, NA, NA, 356, 349, 377, 411, 331, 378, 593, 526, 526, 324, 383, 350, NA, 313, 281, 390, 375, 382, 421, 370, 421, 397, 619, 350, 287, 348, 443, 454, NA, NA, 421, 490, 246, 210, NA, NA, 318, 210, 265, NA, 331, NA, NA, NA, 421, 295, 332, 191, 356, 279, 411, 184, 209, 794, 481, 171, 322, 421, 267, 297, 348, 178, NA, 381, 210, 263, NA, 421, 421, NA, NA, 418, 310, NA, 288, 295, 375, NA, 210, 420, 517, NA, 357, 548, NA, 357, 221, 285, 331, 314, 282, 298, 234, 351, NA, 367, 313, 351, 439, 395, 714, 1144, 421, 191, 238, NA, NA, 518, 607, NA, 341, 210, 667, 326, 274, 368, 313, 282, NA, 595, 979, 421, 285, 631, 421, 465, 368, 210, 313, 313, 311, 346, 327, 210, 411, 396, 316, NA, 234, 533, 349, 725, NA, 257, NA, 212, 250, 262, 511, NA, 358, 352, 421, 414, 769, 323, 314, 617, 421, 415, 316, 346, 429, 591, 297, 310, 298, 162, NA, NA, 409, 270, 376, 447, 346, 667, 316, 359, 196, 293, 210, 396, 294, NA, 267, 340, 335, 255, 310, 487, 421, 317, 426, 316, NA, 322, 350, 359, 273, 351, 371, 365, 260, 177, 340, 415, 235, 303, NA, 318, 421, 303, 382, 728, NA, 421, 455, NA, 424, 300, 241, NA, 283, 403, NA, 310, NA, NA, 441, 421, 373, 338, 365, 368, 272, 298, NA, NA, 347, NA, 350, 421, 421, 371, 308, 316, 437, 272, 218, 210, 459, 410, 233, 210, 421, 383, NA, NA, 285, 210, 316, 180, 348, 389, 317, 419, 401, 244, 421, 210, 342, 210, 216, NA, NA, 261, 375, 262, 376, 260, 421, 262, NA, 298, 269, 312, 395, 300, 297, 131, 180, 309, NA, 210, 585, 421, 156, 526, 561, 159, 287, 421, 332, 415, 357, 421, 386, 283, 183, 433, 293, NA, 219, 421, 421, 316, 449, 421, 359, NA, 925, NA, NA, 209, 304, 185, 374, 300, 843, 423, 353, 351, 421, 253, 546, 380, 314, 380, 341, 421, 142, 287, NA, 421, 308, 456, 210, 404, 461, 483, 421, NA, 420, NA, NA, 351, NA, NA, 631, 316, 359, 366, 421, 880, 488, 307, 356, 421, 423, 421, 421, 385, 569, 310, 351, NA, 231, 299, 387, NA, 260, 378, 420, 365, 385, 296, 335, 388, 265, 336, 259, 316, 370, 300, 307, 450, 421, 535, 410, 308, 426, 137, NA, 318, 235, NA
#> $ earn_count_wne_hi_1yr         <dbl> 45, 87, NA, 57, 119, 177, 32, 12, 94, 15, 129, 22, 19, 608, 208, 161, 49, 91, 37, NA, 25, 58, 151, 32, 117, 73, 12, NA, 53, 52, 128, 18, 22, 44, 91, 86, 92, 85, 24, 37, 173, 76, 290, 733, 18, 78, 75, 52, 17, NA, 63, 15, 22, 260, 36, 58, 303, 38, NA, 25, 369, 68, 416, 81, 105, 55, 80, 71, 104, 172, 47, 501, 70, 28, 287, 68, 144, 62, 265, NA, 333, 83, 65, 23, 217, NA, 132, 17, 262, 62, 18, 78, 20, 111, 80, 76, 16, 307, 48, 76, 208, 75, 326, 48, 299, 277, 655, 41, 799, 14, 192, 211, 109, 824, 46, 157, 895, 287, 90, 46, 33, 90, 56, 47, 121, 94, 30, 197, 322, 16, 34, 104, 157, 52, 28, 135, 21, 78, 41, 118, 59, 17, 35, 115, 23, 84, 357, 50, 51, 25, 107, 403, 30, 13, 56, 138, 103, 82, 46, 71, 218, 118, 11, 86, 168, 26, 156, 89, 50, 43, 49, 56, 48, 133, 25, 19, 23, 62, 34, 38, 13, 631, 106, 27, 141, 70, 200, 52, 123, 69, 344, 25, 43, 138, 100, 47, 32, 59, 31, 72, 40, 24, 65, NA, NA, 52, 42, 67, 39, 34, 14, 108, 20, 21, 59, 46, 58, 41, 28, 21, 26, 50, 109, 12, 79, 24, 71, 125, 1575, 409, 48, 71, 39, 45, NA, 115, 33, 48, 201, 371, 91, 16, 40, 69, 28, 35, 139, 330, 89, 78, 24, 81, 47, 50, 89, 58, 56, NA, 22, 301, 374, 37, 48, 47, 56, 57, 648, 230, 63, 44, 92, 22, 39, NA, 151, 108, 78, 79, 188, 113, 56, 275, 21, 45, 156, 351, 41, 30, 17, 19, 240, 13, 23, 52, 15, 19, 71, 48, 30, 40, 43, 24, 25, 69, 74, 93, 51, 91, 130, 89, 37, 50, 273, 1521, 138, 41, 349, 63, 117, 80, 17, 24, 69, 109, 26, 16, 1841, 64, 15, 22, 80, 200, 24, 36, 58, 20, 29, 101, 122, 65, 38, 46, 410, 15, 30, 49, 57, 70, 70, 66, 155, 39, 18, 18, 103, 36, 100, 93, 108, 723, 474, 136, 66, 44, 17, 14, 274, 54, 26, 35, 81, 102, 32, 61, 225, 41, 34, NA, 43, 980, 22, 42, 28, 12, 88, 44, 87, 60, 65, 100, 93, 85, 102, 183, 60, 13, 32, 112, 55, 71, 163, 11, NA, 31, 58, 62, 117, 24, 20, 58, 39, 36, 19, 678, 93, 49, 28, 171, 39, 17, 100, 88, 340, 46, 52, 57, 22, 38, 25, 77, 158, 106, 36, 75, 127, 127, 222, 63, 84, 61, 62, 91, 33, 77, 46, 31, 24, 50, 267, 362, 17, 47, 49, 19, 77, 119, 113, 59, 77, 163, 48, 35, 67, 24, 82, 37, 30, 27, 21, 83, 29, 35, 149, 18, 84, 48, 28, 105, 81, 20, 14, 94, 58, 16, 40, 37, 25, 208, 44, 57, 51, 61, 36, 58, 75, 40, 24, NA, 21, 37, 405, 313, 153, 43, 30, 101, 61, 111, 28, 254, 221, 87, 55, 29, 69, 25, 18, 310, 82, 72, 71, 42, 101, 16, 37, 117, NA, 186, 72, 64, 39, 96, 23, 17, 24, 54, 39, 148, 60, 124, 35, 20, 118, 103, 116, 154, 33, 45, 72, 48, 71, NA, 28, 157, 66, 130, 139, 171, 45, 463, 68, 85, 215, 157, 255, 361, 25, 61, 41, 29, 18, 102, 122, 79, 229, 120, 53, 103, 17, 117, NA, 19, 112, 122, 92, 289, 175, 649, 323, 107, 378, 140, 122, 99, 251, 491, 39, NA, 259, 25, 172, NA, 311, 37, 120, 109, 107, 12, 247, 49, NA, 175, 16, 42, 1725, 20, 29, 37, 41, 23, 97, 112, 172, 125, 34, 192, 20, 43, 37, 151, 228, 475, 31, 29, 16, 29, 28, 187, 23, 81, 28, 144, 36, 130, 69, 68, 79, 269, 83, 38, 23, 154, 50, 174, 163, 78, 196, 59, 36, 97, 2462, 37, 50, 47, 29
#> $ earn_mdn_hi_1yr               <dbl> 40737, 67202, NA, 68499, 81031, 107636, 45529, 53358, 66686, 65053, 60240, 58673, 82882, 98670, 97211, 63377, 67101, 127000, 59986, NA, 57318, 54948, 71255, 55286, 62756, 63005, 79450, NA, 68499, 66573, 73378, 82440, 61814, 63749, 84161, 76460, 78719, 74063, 101406, 95739, 74576, 108244, 103705, 150453, 55338, 109763, 78134, 63005, 71575, NA, 114223, 122038, 55512, 75573, 62260, 71435, 65310, 77401, NA, 67420, 99335, 64493, 74641, 79284, 92410, 76460, 98403, 98213, 133919, 109763, 74200, 128506, 69897, 37208, 89790, 67660, 81391, 59124, 94851, NA, 71575, 65984, 54109, 74576, 115897, NA, 91211, 52524, 69218, 76930, 60320, 63997, 69338, 92885, 58866, 89130, 48823, 112701, 63600, 54531, 45665, 50606, 75957, 53608, 67660, 76325, 69119, 61814, 89535, 81812, 41193, 76041, 69967, 56329, 58221, 66062, 56796, 69032, 50606, 65131, 51106, 60485, 55964, 40402, 58173, 52107, 54035, 130046, 127602, 57318, 64990, 73635, 105167, 41937, 53108, 60920, 64493, 75623, 64990, 76773, 62579, 90412, 71486, 67273, 72796, 58221, 101406, 53984, 73041, 76460, 81807, 72685, 70176, 91744, 61218, 84653, 60452, 68219, 71351, 62012, 93555, 160423, 63005, 53244, 54442, 74200, 60275, 52789, 74307, 62012, 57318, 70176, 66325, 69338, 48198, 97071, 54435, 74576, 61516, 69338, 43798, 66941, 63855, 68666, 64865, 79473, 97959, 71575, 82440, 72719, 69146, 63005, 55286, 58221, 82238, 67660, 66045, 54192, 46478, 65131, 55713, 69338, 71015, NA, NA, 50856, 47260, 52420, 60878, 60839, 53358, 60399, 54635, 78343, 50856, 44942, 52107, 104749, 55036, 74576, 60771, 50231, 79473, 70456, 73769, 69338, 105083, 93646, 74230, 108154, 56234, 65089, 55964, 41789, NA, 64940, 55108, 102409, 115060, 111713, 73949, 63005, 63005, 70112, 77401, 75921, 83270, 109492, 77401, 62632, 79450, 76083, 47260, 63005, 72902, 72605, 122038, NA, 52107, 66631, 62674, 64990, 61888, 109095, 65486, 91078, 140364, 100951, 97071, 71854, 90146, 55338, 57995, NA, 80004, 77297, 74576, 82882, 78971, 74262, 57318, 115006, 67362, 81333, 75352, 107198, 77715, 53629, 52107, 38289, 47025, 41007, 46478, 70009, 31670, 63005, 79598, 49136, 52941, 53472, 53608, 55964, 49621, 54585, 57318, 54739, 48901, 61888, 68666, 81491, 55964, 71392, 112939, 65476, 54621, 61516, 75405, 74576, 80082, 83768, 44170, 71575, 93816, 79884, 58673, 62012, 68321, 60771, 69338, 70456, 87309, 76729, 70009, 60298, 77087, 64196, 59124, 67660, 89613, 84653, 100690, 90264, 112363, 57318, 114225, 56931, 82440, 68666, 71854, 54296, 64196, 52941, 69338, 55964, 68047, 34420, 62756, 68422, 52492, 166356, 155273, 101494, 54534, 55211, 51273, 67660, 108092, 105863, 47260, 61020, 56276, 61651, 71015, 84653, 61859, 66449, 56641, NA, 54109, 150006, 63005, 59648, 109763, 57318, 66049, 55078, 54470, 54769, 66293, 58402, 63898, 71575, 68499, 76208, 60185, 52107, 56776, 59288, 72325, 75706, 93768, 48041, NA, 57318, 54109, 56931, 63275, 76460, 50856, 56234, 50856, 53775, 53358, 135907, 82440, 66728, 53775, 86997, 61814, 52107, 61859, 87309, 81491, 89968, 68079, 61516, 41349, 73949, 63005, 73231, 73500, 89841, 81997, 80234, 81836, 79284, 67918, 64150, 65238, 64493, 75518, 60623, 48823, 56641, 99960, 43426, 59350, 61303, 98720, 89083, 52107, 70596, 72762, 63005, 68079, 68708, 83848, 80166, 57860, 55456, 57770, 69338, 72274, 81333, 106421, 61177, 54035, 57995, 61516, 76460, 55964, 63005, 82808, 57318, 91539, 67995, 58221, 82756, 66287, 55964, 54713, 55964, 63997, 63005, 65332, 63749, 94408, 65238, 53045, 62579, 48432, 62012, 84653, 61020, 82756, 79284, 120549, NA, 47846, 59045, 95618, 179111, 57149, 61516, 50606, 91502, 55964, 67660, 54869, 110109, 108265, 75204, 87815, 59485, 55693, 66821, 78971, 51690, 65734, 82440, 61681, 58943, 63749, 51273, 57318, 72983, NA, 102902, 49883, 57017, 61064, 77144, 50856, 54713, 52941, 75330, 57995, 58402, 52107, 49527, 44021, 52107, 75282, 64493, 76460, 102743, 57318, 53984, 63997, 60523, 72860, NA, 55286, 100087, 69897, 68858, 62546, 73486, 48041, 75097, 71575, 82756, 66772, 70680, 99069, 62528, 53358, 46254, 58673, 61020, 60433, 86036, 58221, 64493, 128149, 74200, 65486, 73852, 72482, 111769, NA, 56415, 68548, 64150, 59576, 105083, 73164, 137496, 95317, 63005, 73787, 108532, 75204, 59350, 84653, 67524, 63005, NA, 121825, 64493, 83704, NA, 100554, 81491, 83915, 79284, 79150, 58673, 69165, 56234, NA, 102902, 67660, 105465, 60729, 69338, 74200, 87604, 63005, 62260, 121046, 93467, 173400, 81886, 46478, 85243, 57318, 64990, 57318, 91211, 98551, 135440, 62012, 63997, 35416, 62409, 61218, 69338, 66915, 73399, 73949, 65524, 63005, 100738, 57318, 84653, 83388, 64295, 79541, 77715, 73949, 35351, 32806, 37208, 96288, 54509, 71575, 72274, 51607, 77297, 71819, 71015, 83388, 63997, 65657
#> $ earn_count_wne_hi_2yr         <dbl> 37, 74, NA, NA, 95, 131, 11, NA, 72, 12, 109, 16, 13, 552, 148, 172, 34, 54, 31, NA, 13, 50, 73, 27, 121, 32, NA, NA, 52, 62, 91, 19, 25, 33, 85, 72, 53, 58, 21, 36, 182, 108, 159, 654, 14, 70, 82, 37, NA, 14, 50, NA, NA, 272, 21, 35, 222, 48, NA, 13, 376, 24, 258, 37, 116, 49, 90, 35, 105, 134, 46, 638, 95, 12, 266, 69, 165, 43, 161, 32, 278, 80, 28, 22, 174, NA, 105, NA, 164, 41, 16, 52, NA, 35, 37, 73, 13, 370, 46, 99, 136, NA, 166, 36, 216, 247, 681, 34, 717, NA, 217, 185, 94, 590, 76, 128, 717, 223, 67, 54, 29, 30, 59, 34, 46, 66, 23, 170, 293, 16, NA, 87, 130, 51, 23, 83, 27, 81, 22, 100, 37, 14, 21, 78, 18, 76, 316, 34, 46, 29, 88, 150, 28, NA, 150, 94, 80, 66, 35, 90, 192, 116, NA, 55, 88, 23, 136, 79, 30, 43, 64, 43, 29, 131, 15, NA, NA, 42, 19, 20, NA, 504, 88, 22, 86, 42, 193, 40, 104, 30, 358, 15, 39, 82, 45, 44, 14, 38, 21, 41, 33, 13, 34, NA, NA, 18, 16, 48, 33, 16, 15, 120, 25, 19, 42, 52, 53, 53, 13, NA, 16, 55, 31, NA, 43, 21, 61, 133, 1384, 287, 47, 67, 26, 30, 23, 93, 34, 51, 189, 313, 52, 16, NA, 62, 31, 35, 68, 218, 69, 54, 14, 82, 17, 21, 71, 43, 43, 21, 16, 251, 246, 37, 30, 33, 59, 45, 626, 128, 54, 19, 70, 18, 27, NA, 134, 109, 58, 64, 142, 95, 52, 89, NA, 32, 144, 297, 31, 30, NA, NA, 220, 16, 21, NA, 14, 18, 47, 24, 17, 34, 42, 16, 31, 40, 44, 73, 41, 19, 104, 89, 19, 59, 122, 1114, 99, 47, 205, 54, 124, 79, 15, 12, 71, 93, 15, 17, 1017, 38, 15, 18, 104, 173, NA, 21, 36, 25, 20, 94, 53, 56, 29, 35, 201, NA, 28, 35, 56, 42, 46, 59, 108, NA, NA, 12, 62, 22, 73, 66, 76, 665, 466, 117, 19, 43, 13, NA, 249, 46, 22, 22, 63, 104, 19, 52, 143, 26, 35, NA, 51, 942, 17, 26, 24, NA, 50, 35, 72, 22, 49, 84, 81, 38, 73, 99, 47, 16, 23, 46, 37, 46, 45, NA, NA, 28, 43, 63, 110, 30, 19, 39, 19, 40, 14, 315, 70, 44, 20, 74, 23, 11, 54, 37, 289, 33, 58, 29, 13, 18, 21, 46, 115, 96, 56, 48, 116, 60, 250, 53, 52, 40, 60, 67, 35, 82, 31, 33, NA, 35, 224, 305, NA, 37, 26, 14, 58, 56, 78, 45, 23, 75, 48, 27, 27, 37, 57, 16, 13, 19, NA, 94, NA, 30, 99, NA, 82, 38, 19, 100, 72, NA, NA, 57, 21, 25, 45, 37, 25, 129, 21, 51, 17, 33, 38, 50, 43, 40, 17, NA, 14, 19, 376, 270, 176, 35, NA, 113, 46, 81, 28, 167, 89, 59, 37, 16, 59, 11, 13, 220, 63, NA, 75, 37, 74, 21, 13, 99, NA, 154, 46, 59, 28, 58, 14, 15, 19, 61, 25, 103, 23, 31, 18, 12, 118, 64, 84, 159, 18, 36, 46, 48, 50, NA, NA, 106, 43, 25, 129, 186, 31, 355, 35, 78, 38, 151, 265, 314, 21, 66, 29, 18, 15, 84, 82, 53, 194, 103, 21, 94, NA, 113, NA, 14, 87, 118, 130, 272, 165, 591, 210, 78, 185, 125, 90, 89, 170, 446, 37, NA, 199, 22, 100, NA, 113, 38, 112, 45, 111, NA, 201, 26, NA, 138, 32, 39, 1359, NA, 28, 27, 20, 16, 68, 116, 310, 91, 21, 178, 21, 23, 33, 140, 149, 476, 34, 16, NA, 19, 37, 193, 20, 81, 15, 143, 11, 128, 48, 63, 43, 226, 49, 32, 17, 158, 51, 137, 88, 51, 156, 46, 21, 93, 1704, 39, 35, 14, 23
#> $ earn_mdn_hi_2yr               <dbl> 43798, 70176, NA, NA, 80004, 114892, 50856, NA, 66461, 52107, 58549, 58221, 81333, 98650, 92743, 65042, 54739, 106421, 57318, NA, 48432, 67101, 74105, 58402, 59425, 73075, NA, NA, 71015, 73949, 72214, 85357, 50856, 69338, 90049, 80779, 79838, 67660, 106421, 88907, 73739, 116258, 90983, 143744, 60320, 101406, 80459, 62012, NA, 63005, 88861, NA, NA, 69657, 47260, 67660, 65238, 78074, NA, 76460, 92733, 69338, 79037, 68499, 89672, 80124, 96866, 87973, 128588, 108331, 83768, 131090, 63997, 47260, 89184, 71015, 80503, 66541, 80301, 54661, 66897, 57318, 60161, 87604, 106249, NA, 90348, NA, 70044, 73949, 52941, 64706, NA, 86424, 54697, 99458, 41193, 114046, 61303, 51482, 46790, NA, 75047, 52107, 59688, 75787, 67685, 61020, 88546, NA, 39653, 83022, 65557, 58605, 60689, 62806, 56918, 66566, 53358, 62260, 45696, 59253, 49854, 38289, 60173, 53894, 51106, 134287, 127034, 52941, NA, 65486, 111283, 41342, 55964, 62343, 56415, 78719, 49683, 74786, 61516, 84653, 64493, 65238, 84653, 59576, 100096, 54386, 84653, 73635, 80189, 71661, 72884, NA, 60071, 87470, 59942, 63600, 62260, 58303, 91587, 189565, NA, 48432, 57770, 68778, 61350, 55840, 69338, 71957, 54809, 56931, 63166, 65238, 52107, NA, NA, 62260, 61020, 63005, NA, 66326, 64706, 63005, 57589, 70680, 96991, 68666, 78657, 63005, 67473, 67660, 55286, 57995, 73299, 57318, 56641, 61218, 48432, 69338, 60523, 71015, 57318, NA, NA, 49787, 48432, 61144, 36560, 84653, 61814, 63692, 56641, 67101, 51106, 49344, 46869, 87973, 58673, NA, 58673, 49883, 75204, NA, 78719, 74576, 106421, 92188, 72006, 106102, 51750, 68331, 53537, 52107, 52107, 64572, 63005, 89968, 115060, 106688, 72214, 61177, NA, 64328, 82882, 75518, 71854, 99741, 74200, 61516, 78971, 71778, 46478, 68666, 83388, 71015, 119061, 53775, 69338, 65180, 63318, 81111, 66077, 103746, 64493, 89968, 140166, 98481, 90856, 73635, 89412, 57318, 60771, NA, 90079, 73801, 72602, 80858, 75795, 65238, 65131, 112319, NA, 75204, 72469, 101300, 66915, 55964, NA, NA, 46673, 55964, 46087, NA, 33993, 59722, 88527, 53358, 50465, 59969, 55286, 56563, 47650, 54035, 52107, 53358, 51197, 52265, 70176, 88904, 70456, 58402, 112270, 64473, 50856, 58673, 71495, 73949, 87068, 91017, 55512, 50558, 90856, 82440, 64990, 66171, 69218, 60771, 59417, 55286, 79755, 74953, NA, 73446, 65486, 63749, 73635, 62211, 88971, 85918, 97604, 79473, 109327, NA, 125611, 57318, 71015, 65238, 62409, 54192, 59688, NA, NA, 49644, 70296, 33993, 65387, 71575, 54622, 170426, 145332, 101518, 52107, 56157, 47260, NA, 113850, 108092, 70456, 58673, 56776, 60623, 81498, 88506, 64196, 68499, 52941, NA, 59788, 145543, 96539, 61516, 90637, NA, 67101, 59124, 54401, 58673, 81997, 54686, 63430, 74576, 68443, 68499, 50563, 46478, 51607, 56716, 69897, 76460, 77966, NA, NA, 58557, 49084, 54810, 64493, 71854, 67660, 54748, 48849, 49214, 55964, 127836, 84653, 64121, 44384, 74200, 65486, 49683, 57318, 86867, 76836, 84653, 55286, 60230, 57318, 76460, 58673, 81111, 73035, 86129, 79688, 83177, 85860, 79284, 65610, 63005, 61814, 58402, 73635, 52733, 55964, 61814, 98403, 61516, NA, 62260, 108577, 90283, NA, 71575, 72899, 60161, 65089, 69338, 84284, 64706, 66077, 58092, 67324, 67660, 69338, 76083, 95473, 46087, 63328, 69338, NA, 75518, NA, 63997, 86621, NA, 86867, 72510, 44971, 79284, 60878, NA, NA, 48139, 60623, 58221, 72796, 66104, 82440, 65486, 58402, 54154, 45383, 58402, 86867, 59726, 84100, 73425, 96183, NA, 67164, 61516, 94864, 175674, 57735, 58221, NA, 82440, 51169, 65066, 59124, 102409, 109095, 67660, 91211, 59169, 52733, 64990, 57318, 50677, 65198, NA, 61888, 61020, 59425, 42682, 48432, 74262, NA, 95102, 48198, 54724, 60771, 68778, 46087, 116083, 50465, 76460, 69338, 63005, 43798, 53810, 39369, 33987, 73446, 67101, 76041, 99251, 43240, 54463, 62579, 68219, 70456, NA, NA, 96457, 65131, 57318, 67324, 77966, 62012, 68688, 80022, 78343, 64990, 67324, 92563, 59253, 60771, 45696, 67660, 64990, 59124, 77401, 55625, 54109, 127993, 65486, 63005, 68858, NA, 120363, NA, 52941, 68965, 60013, 57526, 115761, 76460, 131707, 94674, 52420, 68858, 97663, 74786, 52941, 75706, 65131, 53984, NA, 119642, 52107, 71015, NA, 98213, 76878, 80521, 73635, 79912, NA, 68499, 45500, NA, 105585, 63749, 91744, 57714, NA, 78896, 74157, 58673, 76460, 113246, 93467, 155263, 74200, 53358, 82685, 77715, 61064, 58221, 86424, 100915, 127652, 63005, 57995, NA, 63005, 63005, 66461, 65797, 72462, 94408, 60689, 88198, 98506, 61218, 85206, 80292, 65267, 77087, 73949, 63997, 32678, 33993, 37208, 88342, 43519, 78029, 74576, 56415, 79389, 70169, 66821, 64990, 53358, 66821
#> $ tuit_grad_res                 <dbl> 8130, 7588, 11700, 9834, 10470, 9072, 9540, 9936, 5598, 18530, 7146, 8436, 11700, 10810, 11372, 8956, 7680, 7379, 4626, 4932, 4594, 15678, 13152, 5022, 16224, 11430, 17500, 6738, 6738, 6738, 6738, 6738, 6738, 6738, 6738, 6738, 6738, 6738, 6738, 6738, 6738, 11220, 11220, 11220, 11220, 11220, 26896, 8150, 16722, 14940, 17550, 17532, 6738, 13320, 12888, 10452, 11232, 15696, 16713, 44068, 31300, 10980, 20100, 6738, 25470, 6738, 23310, 6738, 27594, 36657, 6738, 41592, 34680, 4410, 6714, 9983, 10836, 12567, 9628, 45288, 11250, 20720, 14940, 6496, 13726, 16632, 12060, 15660, 17730, 20745, 12822, 6497, 6497, 30960, 8190, 28422, 17100, 28800, 13410, 17820, 13050, 6916, 16296, 8019, 5467, 22338, 8912, 16725, 10770, 13320, 21964, 34200, 8570, 18373, 10755, 18996, 9630, 8350, 14076, 16768, 12269, 10584, 7088, 3402, 11736, 5512, 5706, 39800, 13452, 3330, 5187, 6636, 8492, 8910, 4374, 3996, 18600, 15288, 17190, 6232, 6789, 6460, 8851, 10800, 15300, 14328, 18960, 6936, 29730, 7368, 13263, 17168, 7466, 29784, 14310, 18594, 9662, 10962, 15372, 12906, 11858, 50424, 6408, 14845, 24750, 12780, 18996, 17993, 13302, 15100, 10524, 6312, 7767, 11663, 6750, 11460, 7872, 35492, 8497, 7128, 6648, 13000, 16403, 11070, 11700, 8474, 8856, 6996, 16020, 17964, 9990, 5922, 3398, 10068, 9480, 9306, 9670, 12000, 6218, 10764, 10085, 8250, 5173, 10950, 11904, 5670, 6552, 11400, 9132, 6593, 5703, 7234, 5686, 6490, 6540, 5336, 5511, 49030, 7524, 8460, 6840, 24468, 13140, 7182, 7092, 8100, 50410, 15840, 8244, 11718, 7074, 12167, 6858, 14106, 10530, 11610, 22420, 33800, 27216, 49176, 48507, 1675, 13736, 42800, 14793, 3186, 14304, 13524, 16863, 22633, 2520, 20556, 29640, 14994, 32333, 24120, 25344, 2700, 25128, 12232, 12942, 27666, 15120, 13712, 12720, 19116, 21466, 16764, 11300, 9959, 16338, 12869, 10710, 6927, 14746, 13312, 12778, 9630, 8550, 8532, 7185, 16240, 8820, 7373, 8100, 24386, 14076, 6885, 6720, 5269, 10080, 6298, 7141, 7644, 6858, 10206, 7780, 7549, 8400, 7575, 6683, 8496, 7200, 12654, 15672, 9405, 4551, 8025, 15030, 19350, 6307, 4644, 48950, 12690, 8400, 4135, 9810, 3600, 4649, 7134, 14038, 3600, 4968, 4752, 16000, 13560, 18810, 9108, 9810, 16720, 15660, 21564, 18000, 15102, 12960, 10196, 13156, 24156, 10464, 19008, 14545, 22239, 16536, 19476, 33328, 10686, 12024, 10998, 3934, 4418, 7780, 4088, 14376, 3026, 37623, 32517, 14310, 29286, 26460, 43552, 29500, 10130, 10130, 10130, 16380, 15624, 32160, 22320, 19116, 27087, 13536, 28272, 17505, 14040, 15156, 19170, 13500, 13230, 42610, 39936, 21870, 10350, 28680, 13482, 41804, 12240, 13194, 14382, 16182, 15930, 15888, 10870, 10870, 10870, 10870, 10870, 10870, 10870, 10870, 10870, 34632, 16200, 17483, 19800, 4744, 11326, 4656, 12654, 3371, 7722, 9900, 13770, 4545, 9643, 4252, 5117, 4647, 8088, 4448, 3639, 11520, 11194, 37520, 9450, 4348, 12100, 6865, 7185, 5570, 7731, 5713, 12697, 7632, 11250, 42576, 12790, 9565, 16020, 14400, 16008, 11090, 11349, 10200, 10260, 12890, 8964, 10825, 10620, 11560, 9510, 12600, 13166, 18636, 18936, 11970, 13474, 10908, 8492, 9270, 20772, 6043, 3899, 5033, 13734, 4886, 4464, 5316, 22230, 10762, 15504, 15000, 12150, 14391, 30421, 13248, 17496, 14292, 19560, 13140, 11592, 11520, 11592, 16261, 16254, 11592, 7824, 32184, 22212, 16200, 17370, 11934, 11772, 13248, 11592, 23020, 43320, 25560, 10106, 9300, 12060, 19964, 32286, 15858, 12240, 25000, 11352, 12672, 11592, 11592, 15786, 17917, 15840, 11592, 24800, 22368, 13260, 26832, 11826, 8880, 11796, 9180, 7542, 3750, 15075, 70, 8826, 7650, 12398, 13320, 14312, 6840, 7516, 8300, 20160, 8580, 22600, 5700, 18576, 7992, 9024, 11376, 18956, 8820, 7974, 8100, 11044, 8502, 8380, 9200, 6426, 6870, 19890, 3783, 28494, 12240, 3568, 15408, 30200, 3619, 3630, 16481, 7074, 6602, 5798, 7956, 15930, 6048, 3350, 20115, 14940, 3849, 5450, 15390, 4362, 35712, 25092, 20934, 5139, 15570, 40896, 10350, 4896, 6167, 3672, 3228, 5784, 7141, 11300, 12418, 4497, 4896, 26640, 5186, 1600, 5400, 4522, 10620, 4402, 6680, 7280, 5323, 7192, 6473, 7677, 13412, 14436, 17073, 15096, 9000, 12726, 13715, 10628, 10776, 9648, 8051, 8820, 6588, 16920, 8736, 20304, 12467, 10976, 15026, 13914, 10953, 16457, 18202, 25381, 13800, 19353, 11224, 15207, 9582, 11952, 5770, 9000, 10176, 12015, 10539, 10170, 16164, 10305, 4860, 19350, 7936, 7640, 7640, 10387, 7640, 7640, 4338, 2652, 2652, 2652, 9208, 10692, 11160, 6738, 11880, 6738, 6500, 6974, 6738, 9000, 5144
#> $ fee_grad_res                  <dbl> 1236, 0, 1390, 508, 0, 1624, 840, 640, 1226, 610, 802, 1385, 410, 696, 1011, 451, 1604, 971, 1292, 1026, 1287, 500, 0, 918, 220, 710, 150, 3603, 1385, 1256, 1138, 1595, 1568, 951, 841, 1088, 1092, 988, 911, 1115, 1428, 2017, 1844, 1463, 2118, 1865, 370, 0, 300, 40, 85, 500, 1737, 180, 930, 135, 0, 80, 619, 380, 120, 0, 172, 1612, 354, 1012, 50, 1946, 0, 0, 1916, 713, 400, 2488, 1738, 0, 1774, 840, 2088, 303, 0, 184, 2510, 4460, 2270, 80, 510, 200, 720, 0, 828, 4722, 4801, 792, 50, 690, 526, 45, 0, 0, 100, 1956, 1294, 1857, 1190, 250, 2185, 200, 1967, 0, 1200, 1016, 1797, 802, 400, 0, 0, 2078, 0, 0, 450, 80, 1974, 1602, 400, 1454, 1850, 3180, 2200, 1376, 2022, 2092, 2270, 0, 2116, 1962, 0, 880, 130, 2208, 1713, 2070, 120, 0, 260, 360, 330, 2769, 250, 1900, 3080, 720, 1504, 500, 100, 848, 0, 390, 0, 0, 1981, 440, 1389, 100, 0, 100, 313, 327, 375, 450, 4059, 1642, 3558, 0, 200, 960, 0, 588, 500, 200, 595, 0, 930, 428, 0, 1075, 1501, 0, 280, 0, 240, 1884, 657, 0, 958, 406, 862, 0, 1514, 0, 0, 110, 905, 0, 300, 300, 150, 0, 2755, 2483, 1872, 1064, 2166, 2172, 1829, 3996, 3939, 1980, 1142, 0, 830, 682, 1508, 1924, 2448, 210, 1800, 60, 270, 1538, 1404, 0, 1512, 60, 0, 40, 0, 580, 90, 710, 88, 8563, 0, 30, 0, 2556, 375, 2089, 355, 280, 4671, 162, 195, 405, 52, 0, 60, 2664, 690, 0, 790, 0, 1235, 0, 766, 150, 328, 0, 722, 432, 0, 350, 310, 290, 1757, 923, 0, 0, 0, 0, 669, 1495, 0, 883, 0, 214, 360, 777, 684, 1277, 0, 120, 120, 100, 20, 600, 0, 110, 300, 1095, 701, 126, 396, 324, 660, 0, 2342, 0, 490, 546, 1101, 910, 330, 0, 100, 1758, 525, 1203, 1441, 1676, 0, 1131, 532, 535, 1175, 175, 0, 630, 50, 400, 198, 870, 910, 968, 2718, 1944, 3316, 700, 1676, 2806, 3131, 450, 2097, 60, 1186, 3214, 0, 1386, 2083, 1598, 1526, 853, 0, 1624, 1335, 970, 724, 650, 790, 2002, 85, 308, 432, 430, 470, 860, 491, 970, 490, 111, 290, 1904, 540, 0, 620, 950, 160, 0, 276, 2432, 100, 350, 1000, 300, 274, 50, 0, 814, 351, 180, 340, 1824, 2051, 2477, 1696, 711, 1284, 1063, 515, 480, 1242, 1000, 550, 200, 2977, 549, 2632, 0, 2162, 50, 0, 105, 2902, 1963, 3026, 2636, 2477, 2484, 2595, 2285, 0, 536, 490, 0, 2844, 720, 1375, 1458, 962, 1405, 0, 0, 1765, 0, 34, 1678, 114, 50, 685, 0, 0, 918, 420, 0, 638, 0, 500, 450, 865, 0, 0, 1555, 176, 300, 100, 0, 12, 410, 1905, 2668, 751, 673, 2702, 2070, 3283, 306, 1110, 490, 1434, 0, 180, 1651, 1852, 213, 1317, 0, 1710, 0, 263, 2573, 90, 3916, 130, 468, 5096, 138, 840, 0, 230, 550, 0, 450, 274, 2923, 570, 1030, 0, 1314, 1415, 0, 948, 3318, 990, 0, 550, 50, 600, 3384, 3771, 890, 100, 0, 2399, 300, 1728, 0, 0, 0, 0, 1566, 100, 700, 40, 0, 12914, 856, 0, 400, 120, 300, 0, 1042, 1473, 730, 200, 260, 0, 0, 1379, 0, 70, 30, 1643, 1260, 1776, 1790, 1394, 1040, 1171, 0, 20, 0, 2612, 3006, 350, 2732, 800, 0, 1440, 2146, 2485, 1360, 1166, 1192, 982, 1575, 1958, 2367, 0, 1450, 2029, 1733, 816, 2782, 540, 150, 324, 2184, 680, 5664, 960, 1531, 1801, 2437, 2141, 3120, 1678, 0, 0, 1126, 1480, 48, 1915, 5118, 2125, 2364, 1180, 1947, 0, 756, 954, 630, 1054, 912, 182, 0, 2176, 1916, 5258, 500, 60, 3096, 35, 1104, 379, 92, 3030, 180, 2744, 1190, 2065, 2167, 2654, 0, 841, 424, 200, 100, 0, 765, 1529, 1059, 921, 0, 1734, 0, 700, 0, 0, 120, 0, 0, 0, 0, 0, 1271, 1122, 1402, 1066, 1396, 1335, 900, 900, 900, 794, 300, 300, 1911, 500, 907, 290, 1987, 1075, 0, 1690
#> $ tuit_grad_nres                <dbl> 16260, 17294, 11700, 21830, 26950, 27216, 9540, 20592, 11196, 18530, 14292, 17233, 11700, 23480, 31124, 17781, 17400, 18842, 9252, 9864, 9188, 15678, 13152, 7452, 16224, 11430, 17500, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 26322, 26322, 26322, 26322, 26322, 26896, 8150, 16722, 14940, 17550, 17532, 15666, 13320, 12888, 10452, 11232, 15696, 16713, 44068, 31300, 10980, 20100, 15666, 25470, 15666, 23310, 15666, 27594, 36657, 15666, 41592, 34680, 10332, 22374, 20153, 28656, 12567, 23604, 45288, 11250, 20720, 14940, 18102, 34762, 16632, 12060, 15660, 17730, 20745, 12822, 18102, 18102, 30960, 8190, 28422, 17100, 28800, 13410, 17820, 13050, 25759, 16296, 22108, 16695, 22338, 21393, 16725, 27335, 13320, 21964, 34200, 19585, 18373, 10755, 18996, 9630, 19048, 14076, 16768, 12269, 10584, 22166, 13590, 11736, 13507, 11952, 39800, 27872, 13248, 18486, 26518, 24090, 8910, 15750, 15498, 18600, 36768, 17190, 20682, 20870, 21268, 8851, 10800, 15300, 14328, 18960, 16656, 29730, 14736, 22217, 17168, 15038, 29784, 14310, 18594, 9662, 10962, 15372, 12906, 20426, 50424, 12816, 14845, 24750, 12780, 18996, 17993, 13302, 15100, 26310, 11156, 11651, 11663, 6750, 11460, 7872, 35492, 16691, 13986, 15661, 13000, 16403, 11070, 11700, 21786, 26460, 6996, 16020, 17964, 9990, 18414, 9676, 10068, 22176, 9306, 21828, 12000, 16302, 10764, 10085, 16786, 12704, 10950, 11904, 5670, 6552, 16320, 9132, 19478, 16778, 20673, 16617, 18590, 19017, 5336, 19239, 49030, 24498, 8460, 18468, 24468, 19062, 12384, 9108, 8100, 50410, 15840, 11862, 25272, 13860, 12167, 12060, 14106, 10530, 11610, 22420, 33800, 27216, 49176, 48507, 1675, 13736, 42800, 14793, 3186, 25853, 29644, 32913, 22633, 4140, 20556, 29640, 27068, 32333, 24120, 25344, 2700, 25128, 18216, 12942, 27666, 27840, 13712, 12720, 19116, 43346, 32940, 19998, 14922, 24648, 24517, 10710, 6927, 31939, 28195, 12778, 9630, 8550, 8532, 14370, 25120, 8820, 11201, 8100, 24386, 14076, 6885, 10120, 5269, 10080, 6298, 7141, 21912, 6858, 10206, 20900, 16419, 8400, 7575, 13366, 8496, 7200, 12654, 15672, 9405, 9103, 8025, 15030, 19350, 11767, 9324, 48950, 12690, 8400, 18742, 9810, 7200, 12987, 20412, 14038, 7200, 18878, 18662, 16000, 13560, 18810, 10494, 9810, 16720, 15660, 21564, 18000, 15102, 12960, 17966, 17831, 24156, 15837, 28092, 14545, 22239, 28128, 19476, 33328, 16449, 12024, 17856, 9880, 7552, 22643, 14254, 14376, 8730, 37623, 32517, 14310, 29286, 26460, 43552, 29500, 18720, 18720, 18720, 16380, 15624, 32160, 22320, 19116, 27087, 13536, 28272, 17505, 14040, 15156, 19170, 13500, 13230, 42610, 39936, 21870, 10350, 28680, 13482, 41804, 12240, 13194, 14382, 16182, 15930, 15888, 22210, 22210, 22210, 22210, 22210, 22210, 22210, 22210, 22210, 34632, 16200, 17483, 19800, 17913, 11326, 17547, 12654, 14219, 7722, 9900, 13770, 16950, 26854, 17423, 18566, 17347, 22610, 16667, 13896, 11520, 11194, 37520, 9450, 14755, 12100, 6865, 19184, 14873, 13237, 5713, 12697, 13284, 11250, 42576, 24532, 16297, 16020, 14400, 16008, 19362, 11349, 10200, 10260, 29604, 8964, 10825, 10620, 32008, 17502, 12600, 23502, 18636, 18936, 11970, 22890, 10908, 12992, 9270, 20772, 15010, 8813, 19801, 13734, 18989, 10674, 11652, 22230, 13354, 15504, 15000, 21799, 24759, 30421, 20736, 17496, 17892, 19560, 13140, 17400, 11520, 17400, 16261, 16254, 17400, 7824, 32184, 22212, 16200, 17370, 11934, 11772, 13248, 17400, 23020, 43320, 25560, 17636, 9300, 12060, 34266, 32286, 15858, 12240, 25000, 11352, 12672, 17400, 17400, 21636, 17917, 15840, 17400, 24800, 22368, 13260, 26832, 11826, 8880, 24206, 9180, 7542, 3750, 15075, 70, 18424, 7650, 27008, 24144, 27570, 6840, 14449, 22280, 20160, 8580, 22600, 5700, 18576, 22248, 9024, 11376, 18956, 17604, 22086, 24218, 29232, 14262, 20020, 23720, 6426, 6870, 19890, 11128, 28494, 12240, 10912, 15408, 30200, 11564, 10974, 16481, 15696, 13046, 13142, 17100, 15930, 13392, 10694, 20115, 14940, 5019, 12794, 15390, 12390, 35712, 25092, 20934, 12483, 15570, 40896, 10350, 12240, 14327, 11015, 10572, 15953, 15638, 21518, 24150, 12326, 12294, 26640, 20785, 8244, 12744, 11867, 10620, 5081, 6680, 22861, 18632, 17718, 22848, 16161, 13412, 14436, 17073, 38160, 24686, 12726, 13715, 29306, 10776, 26688, 8051, 8820, 15462, 16920, 25548, 20304, 25095, 22479, 25168, 13914, 25438, 16457, 18202, 25381, 13800, 19353, 24656, 27255, 19866, 11952, 14114, 23238, 10176, 12015, 10539, 10170, 16164, 10305, 4860, 19350, 7936, 16771, 16771, 23424, 16771, 16771, 12978, 2652, 2652, 2652, 28010, 10692, 11160, 15666, 11880, 15666, 6500, 28170, 15666, 9000, 17544
#> $ fee_grad_nres                 <dbl> 1236, 0, 1390, 508, 0, 1624, 840, 640, 1226, 610, 802, 1727, 410, 696, 1011, 513, 1604, 971, 1292, 1026, 1287, 500, 0, 918, 220, 710, 150, 3603, 1385, 1256, 1138, 1595, 1568, 951, 841, 1088, 1092, 988, 911, 1115, 1428, 2017, 1844, 1463, 2118, 1865, 370, 0, 300, 40, 85, 500, 1737, 180, 930, 135, 0, 80, 619, 380, 120, 0, 172, 1612, 354, 1012, 50, 1946, 0, 0, 1916, 713, 400, 2488, 1738, 0, 1774, 840, 2088, 303, 0, 184, 2510, 5654, 2270, 80, 510, 200, 720, 0, 828, 5917, 5996, 792, 50, 690, 526, 45, 0, 0, 100, 2898, 1294, 2561, 1751, 250, 2809, 200, 2795, 0, 1200, 1016, 2348, 802, 400, 0, 0, 2078, 0, 0, 450, 80, 2728, 1602, 400, 1454, 1850, 3180, 2200, 1376, 2022, 2092, 2270, 0, 2116, 1962, 0, 880, 130, 2208, 1713, 2070, 120, 0, 260, 360, 330, 2769, 250, 1900, 3080, 720, 1504, 500, 100, 848, 0, 390, 0, 0, 1981, 440, 1389, 100, 0, 100, 313, 327, 375, 450, 4059, 1782, 3558, 0, 200, 960, 0, 588, 500, 200, 595, 0, 930, 428, 0, 1075, 1501, 0, 280, 0, 240, 1884, 657, 0, 958, 406, 862, 0, 1514, 0, 0, 110, 905, 0, 300, 300, 150, 0, 19690, 2483, 1872, 1064, 2166, 2172, 1829, 13996, 3939, 1980, 1142, 0, 830, 682, 1508, 1924, 2448, 210, 1800, 60, 270, 1538, 1404, 0, 1512, 60, 0, 40, 0, 580, 90, 710, 88, 8563, 0, 30, 0, 2556, 375, 2089, 355, 280, 4671, 162, 195, 405, 52, 0, 60, 2664, 690, 0, 790, 0, 1235, 0, 766, 150, 328, 0, 722, 432, 0, 350, 310, 290, 1757, 923, 0, 0, 0, 0, 669, 1495, 0, 883, 0, 214, 360, 777, 684, 1277, 0, 120, 10473, 100, 20, 600, 0, 110, 300, 1095, 701, 126, 396, 324, 660, 0, 2342, 0, 490, 546, 1101, 910, 330, 0, 100, 1812, 525, 1203, 1441, 1676, 0, 1131, 532, 535, 1175, 175, 0, 630, 50, 400, 198, 870, 910, 968, 2718, 1944, 3316, 700, 1676, 2806, 3131, 450, 2097, 60, 1186, 3214, 0, 1386, 2083, 1598, 1526, 853, 0, 1624, 1335, 970, 724, 650, 790, 2002, 85, 308, 432, 430, 470, 860, 491, 970, 490, 111, 290, 1904, 540, 0, 620, 950, 160, 0, 276, 2432, 100, 350, 1000, 300, 274, 50, 0, 814, 351, 180, 340, 1824, 2051, 2477, 1696, 711, 1284, 1063, 515, 480, 1242, 1000, 550, 200, 2977, 549, 2632, 0, 2162, 50, 0, 105, 2902, 1963, 3026, 2636, 2477, 2484, 2595, 2285, 0, 536, 490, 0, 2844, 720, 1375, 1458, 962, 1405, 0, 0, 1765, 0, 34, 1678, 114, 50, 685, 0, 0, 918, 420, 0, 638, 0, 500, 450, 865, 0, 0, 1555, 176, 300, 100, 0, 12, 410, 1905, 2668, 751, 673, 2702, 2070, 3283, 306, 1110, 490, 1434, 0, 180, 1651, 1852, 213, 1317, 0, 1710, 0, 263, 2861, 90, 5119, 130, 468, 6875, 138, 840, 0, 230, 550, 0, 450, 274, 3825, 570, 1030, 0, 1452, 1415, 0, 948, 3318, 990, 0, 550, 50, 600, 3672, 4930, 890, 100, 0, 2615, 300, 1728, 0, 0, 0, 0, 1566, 100, 700, 40, 0, 32888, 856, 0, 400, 120, 300, 0, 1042, 1473, 730, 200, 260, 0, 0, 1379, 0, 70, 30, 1643, 1260, 1776, 2020, 1394, 1040, 1171, 0, 20, 0, 2612, 3006, 350, 3161, 800, 0, 1440, 2146, 2485, 1360, 1166, 1192, 982, 1575, 1958, 2796, 0, 1450, 2029, 1733, 816, 2782, 540, 150, 324, 2184, 680, 5664, 960, 1531, 1801, 2437, 2141, 3120, 1678, 0, 0, 1126, 1480, 48, 1915, 5666, 2125, 2364, 1180, 1947, 0, 756, 954, 630, 1054, 912, 182, 0, 2176, 1916, 5814, 500, 60, 3096, 35, 1608, 379, 92, 3030, 180, 3312, 1190, 2669, 2792, 3336, 0, 841, 424, 200, 100, 0, 765, 1529, 1059, 921, 0, 1946, 0, 700, 0, 0, 120, 0, 0, 0, 0, 0, 1271, 1122, 1402, 1066, 1396, 1335, 900, 900, 900, 794, 300, 300, 1911, 500, 907, 290, 3046, 1075, 0, 1690
#> $ books_supplies                <dbl> 1600, 1200, 1500, 1688, 1200, 1200, 1800, 1020, 1500, 1000, 1129, 1400, 1220, 1103, 800, 1000, 1715, 1046, 1137, 1410, 1200, 1200, 800, 1600, 1792, 1790, 1791, 1848, 1898, 1500, 1791, 1650, 1792, 1764, 1792, 1898, 1500, 1898, 1898, 1600, 1792, 1601, 1766, 1636, 1716, 1541, 1500, 1700, 1790, 1854, 1920, 1792, 1660, 1791, 1791, 1900, 1592, 1844, 1791, 1791, 1500, 1790, 1775, 1818, 1800, 1900, 1600, 1899, 1791, 1107, 1790, 1200, 1800, 1800, 1800, 1800, 1800, 1000, 1200, 1200, 1800, 1000, 1500, 1300, 850, 1150, 972, 1000, 800, 1200, 1000, 1400, 1300, 800, 1800, 800, 1600, 1275, 1040, 1500, 800, 1152, 1400, 1138, 1320, 1200, 1590, 1244, 1210, 1320, 2000, 930, 1200, 1500, 1030, 1250, 1720, 1200, 850, 1200, 1600, 1500, 1200, 1298, 1300, 1222, 1270, 1224, 800, 1400, 1500, 1200, 1006, 1400, 1200, 1500, 1600, 952, 1200, 1200, 1000, 1214, 1200, 1000, 1200, 1200, 1104, 150, 1000, 900, 1400, 1510, 942, 1500, 1500, 1200, 1000, 1350, 1200, 1000, 1400, 1620, 2400, 1000, 1500, 1200, 1200, 1200, 800, 1200, 1100, 840, 900, 1200, 1200, 1000, 1000, 1250, 1140, 1170, 1204, 1380, 1200, 1200, 950, 995, 950, 1280, 1200, 1560, 1200, 1000, 1080, 1500, 1080, 986, 856, 1490, 1000, 2547, 1000, 1000, 1000, 792, 1100, 1200, 1200, 1000, 1160, 1500, 1220, 1220, 1220, 1220, 1220, 1240, 1220, 1200, 1000, 1200, 1200, 800, 1600, 2200, 1400, 1200, 1220, 1250, 0, 1200, 2500, 1300, 1300, 1200, 1000, 1000, 1100, 1260, 1250, 1000, 1000, 800, 1500, 800, 1150, 1000, 1200, 1000, 800, 1000, 1200, 1280, 1000, 1200, 1200, 1240, 1000, 1368, 1100, 1000, 904, 880, 1000, 1200, 1000, 1453, 1048, 1076, 1300, 1000, 764, 1350, 1000, 800, 1196, 948, 1200, 1186, 2000, 480, 1500, 1000, 600, 1200, 1300, 1000, 1000, 1200, 1200, 1556, 1200, 1000, 2300, 1200, 1400, 1100, 1200, 1200, 3300, 1040, 1000, 1200, 1000, 1000, 1200, 1200, 400, 1800, 1485, 1200, 502, 1100, 980, 1000, 1200, 1400, 1350, 1600, 1080, 1012, 1040, 1120, 1298, 1300, 1200, 1000, 1200, 1337, 1400, 2100, 1200, 1230, 1300, 1350, 1600, 1200, 1384, 1234, 1300, 2600, 1569, 1500, 1350, 1000, 1200, 1597, 1698, 1600, 950, 1100, 1080, 1298, 1200, 1466, 1020, 1300, 1000, 1416, 1000, 1400, 910, 1364, 1364, 1364, 1200, 1500, 1012, 1000, 1500, 1300, 1300, 2000, 1200, 1000, 1524, 1470, 1200, 1185, 1589, 1070, 1104, 1000, 800, 1100, 1050, 1200, 800, 1200, 1000, 1100, 615, 1200, 1000, 1196, 900, 1037, 1600, 800, 1528, 1500, 1440, 778, 1400, 822, 700, 1600, 1280, 900, 400, 1300, 1160, 1200, 1400, 1442, 1200, 956, 1500, 1082, 1104, 1505, 1500, 1200, 1400, 1400, 2151, 1222, 1100, 1000, 800, 1000, 912, 1582, 1010, 1550, 1200, 1500, 800, 1000, 1240, 1000, 1200, 1100, 1320, 1200, 1216, 1400, 1200, 1100, 1234, 1030, 2000, 1150, 1216, 1200, 1104, 1248, 1000, 1100, 900, 1200, 1600, 1260, 1260, 1500, 714, 1000, 1218, 1200, 1425, 950, 900, 1551, 1122, 1050, 2090, 864, 999, 1144, 1500, 1200, 1200, 1000, 1020, 1000, 1000, 1000, 1700, 1400, 1200, 1066, 900, 1200, 1080, 1100, 1000, 1100, 1000, 1597, 1000, 1488, 1840, 1280, 1200, 1500, 2000, 1300, 1200, 1200, 1550, 1000, 1100, 1500, 1200, 1300, 1500, 1200, 1300, 1500, 940, 1200, 1400, 2000, 1400, 1060, 1159, 1308, 2200, 1023, 1160, 1000, 950, 1200, 1550, 1400, 1600, 1000, 1400, 1500, 1090, 1420, 1200, 1400, 1415, 1540, 1400, 1598, 1400, 2300, 2300, 1471, 1250, 1250, 1200, 1444, 1274, 868, 1260, 1200, 1400, 1400, 1000, 1064, 1210, 1200, 1300, 1200, 1000, 1456, 1550, 1300, 1350, 1000, 1200, 1300, 800, 1050, 1094, 1000, 1300, 800, 1298, 1192, 820, 1200, 1344, 1054, 1206, 662, 1200, 1216, 1292, 1050, 1000, 1524, 1200, 1050, 1650, 1000, 812, 1600, 810, 976, 1232, 1200, 1000, 1000, 1500, 1200, 1350, 1000, 1000, 1200, 1100, 990, 1771, 1000, 1200, 1000, 1000, 1500, 1210, 2804, 1294, 1000, 900, 1092, 1000, 825, 1000, 1500, 960, 825, 906, 840, 1000, 900, 625, 700, 1078, 1600, 800, 950, 800, 1008, 1000, 400, 1000, 800, 500, 370, 1200, 1700, 1700, 1700, 1220, 1400, 1800, 1764, 1600, 1339, 200, 1200, 1898, 1046, 2000
#> $ roomboard_off                 <dbl> 8830, 11682, 9600, 9603, 13050, 12898, 8000, 8980, 7284, 9850, 5815, 12080, 15060, 9216, 11300, 9262, 9406, 10332, 8910, 12634, 7054, 6756, 2500, 6915, 12494, 12370, 12492, 12507, 13780, 10900, 13770, 12588, 11360, 12888, 12492, 13882, 13884, 12910, 13882, 11358, 12492, 8606, 9814, 10667, 9008, 10131, 12268, 12400, 4968, 13293, 13200, 13500, 12638, 12492, 12492, 12298, 11104, 12916, 12492, 12492, 14330, 12492, 12492, 12050, 12492, 13882, 13990, 13882, 12492, 12240, 13882, 14348, 12492, 9693, 11205, 10400, 11788, 8910, 9693, 12021, 9694, 12265, 8520, 10503, 12436, 13860, 11986, 11468, 13850, 10462, 10750, 9698, 11884, 12068, 6000, 15698, 13040, 12500, 11440, 11400, 11608, 9764, 10826, 9636, 11364, 13610, 11837, 10680, 9910, 16740, 8544, 16490, 9934, 19125, 8776, 11530, 11680, 9700, 13997, 12326, 3500, 6500, 9354, 10622, 9684, 11750, 9030, 13486, 13640, 7672, 13150, 9800, 8032, 8540, 9258, 6849, 12478, 13030, 17362, 8974, 8280, 8354, 8350, 3858, 10010, 5850, 13387, 9546, 5500, 10868, 10882, 10260, 8082, 8000, 7000, 11500, 7500, 15300, 8565, 8980, 10776, 15489, 6588, 12660, 6111, 7750, 8600, 16699, 7200, 7206, 10186, 9211, 9580, 6000, 4000, 12947, 8000, 6812, 9920, 9696, 7170, 7010, 7400, 8900, 9060, 8356, 8588, 5440, 9470, 8120, 7970, 8392, 7710, 7590, 9610, 11169, 7662, 10881, 7025, 5955, 6296, 10252, 10575, 11820, 3600, 6750, 8400, 7713, 15772, 6516, 9074, 9073, 9074, 9073, 9072, 9714, 9073, 13844, 10164, 7200, 9980, 6500, 14200, 13114, 6000, 11240, 10255, 7870, 15430, 13966, 11876, 7500, 11352, 4630, 6012, 11660, 3500, 15130, 10200, 14870, 11330, 12200, 8000, 8450, 8881, 6380, 5150, 11897, 9200, 15050, 10310, 14500, 11890, 10000, 14882, 9730, 13410, 5400, 10464, 7346, 6324, 9514, 7400, 7780, 8810, 10107, 10872, 9784, 8064, 8706, 6252, 9185, 10040, 9270, 9134, 9561, 17358, 6600, 8500, 9894, 9610, 9377, 4120, 8230, 7700, 8700, 9010, 7686, 8460, 9356, 9000, 7374, 6100, 10002, 7394, 9812, 9418, 10000, 5900, 9488, 8350, 6290, 5104, 7998, 9000, 6521, 8558, 6400, 10125, 10640, 8508, 8288, 15596, 9516, 2050, 8826, 10350, 7164, 8648, 9774, 8354, 7110, 9190, 10558, 12200, 11700, 9514, 9708, 9990, 13500, 10894, 10575, 13000, 9882, 9475, 12446, 10973, 8967, 10964, 10300, 10849, 9600, 17934, 7500, 14350, 11942, 5670, 10800, 7496, 9108, 9472, 8944, 12800, 8224, 9720, 12196, 8000, 9892, 9600, 17010, 13900, 13713, 13713, 13713, 11570, 10000, 11924, 17315, 14400, 10230, 12970, 25000, 15010, 13250, 8096, 9436, 9900, 13380, 13000, 17578, 15558, 9300, 18312, 7222, 12500, 7000, 11463, 12356, 6500, 11740, 12450, 9750, 8090, 11241, 12900, 12982, 12000, 13390, 11600, 11948, 15217, 12865, 10036, 13260, 8380, 10760, 9241, 11495, 8070, 5400, 11600, 6244, 7153, 12218, 9823, 8744, 9636, 10635, 8624, 8208, 10700, 7300, 13404, 7000, 10100, 7292, 8264, 7856, 8136, 12342, 5500, 8882, 7446, 11000, 14298, 12102, 12000, 12680, 5795, 11250, 10720, 6176, 7760, 6300, 12454, 4150, 9000, 6360, 11706, 12268, 10200, 7514, 11508, 6450, 8538, 11376, 11730, 8990, 8136, 5400, 9772, 6378, 8840, 9814, 10280, 5544, 5112, 11338, 8930, 10528, 8650, 11874, 9807, 11822, 12200, 7556, 9699, 8998, 5100, 8912, 10000, 10524, 10784, 11042, 11146, 13328, 14367, 11760, 7200, 11990, 4000, 12000, 10062, 12044, 7500, 7100, 12690, 9268, 10000, 12858, 11230, 14536, 3150, 12880, 11000, 9400, 9212, 9504, 8080, 12336, 13093, 7090, 12860, 8190, 8618, 10460, 9000, 6700, 13650, 9586, 10450, 9990, 9050, 5905, 10897, 9144, 9892, 10540, 7928, 7464, 8630, 8008, 9711, 11330, 7508, 8700, 7690, 9980, 7952, 5090, 7880, 5000, 9153, 8246, 9100, 10238, 7996, 6610, 8750, 8500, 9400, 9310, 8216, 10576, 7204, 9114, 10692, 8500, 9532, 7780, 8973, 9704, 8720, 7996, 11067, 10794, 7550, 6910, 10332, 7590, 8012, 7960, 7872, 7355, 13750, 11112, 10090, 8720, 4000, 8700, 13694, 8868, 7260, 9710, 7466, 10368, 8410, 10070, 10190, 9496, 9970, 12000, 9558, 12974, 9081, 6885, 11000, 8582, 7448, 7500, 7880, 5960, 9936, 8000, 7904, 10576, 12920, 10000, 11382, 7965, 8000, 12186, 11700, 9334, 8046, 10120, 11118, 13430, 10864, 9990, 8720, 11280, 10726, 9648, 10941, 11158, 7800, 10330, 9100, 11499, 11356, 14625, 10524, 9585, 8426, 8340, 7850, 6517, 6718, 10280, 8370, 5664, 3750, 12160, 8510, 7538, 7600, 10030, 7350, 7600, 10320, 8000, 8000, 8000, 9460, 8936, 11104, 12826, 11448, 15450, 6000, 9672, 13882, 17654, 13128
#> $ oth_expense_off               <dbl> 3090, 4886, 1600, 3578, 4116, 5664, 4700, 3180, 2800, 5498, 5227, 4250, 4160, 4708, 5200, 5070, 5213, 4104, 5202, 4766, 5471, 2414, 2850, 6939, 4158, 4158, 4258, 2646, 2924, 2516, 2658, 2716, 2478, 2870, 2658, 2924, 2706, 2934, 2924, 2182, 2658, 5665, 5383, 5140, 5317, 5621, 4100, 4340, 4286, 4239, 4610, 4292, 2444, 4258, 4536, 5382, 3696, 4914, 4245, 4158, 2500, 4158, 4156, 3296, 4158, 2966, 3800, 2925, 4158, 3170, 2924, 1880, 4158, 2763, 5193, 4600, 2294, 1600, 1360, 2634, 3272, 6776, 10208, 3671, 2650, 1730, 2806, 2760, 2500, 3150, 2644, 3972, 2920, 1500, 1800, 921, 5500, 1900, 2660, 7700, 5783, 4970, 4458, 6313, 5718, 3000, 5354, 1626, 3750, 3524, 7272, 3062, 3834, 8010, 5678, 6170, 2552, 4100, 8448, 3000, 2400, 3630, 2100, 3860, 4500, 2500, 4460, 2416, 3260, 6044, 5303, 5654, 3952, 2890, 4994, 6195, 2245, 2899, 2220, 4030, 5921, 3840, 3440, 3520, 2240, 1700, 2364, 2067, 4000, 7000, 3628, 4230, 5538, 2000, 2504, 1600, 3250, 5940, 6261, 2100, 2584, 2532, 6489, 1000, 4479, 3900, 7700, 1450, 4120, 3106, 2941, 2768, 3570, 2800, 1600, 2550, 3200, 6512, 3082, 2308, 3798, 2692, 3000, 1620, 3790, 2430, 3420, 6434, 5924, 2872, 4880, 3470, 3836, 4422, 3070, 3190, 3860, 3122, 4252, 1906, 6341, 3581, 4769, 5432, 6150, 5500, 6700, 3307, 5420, 4635, 3918, 3919, 3992, 3919, 3916, 3971, 3919, 1060, 2200, 2700, 3000, 2600, 4150, 1600, 3706, 3100, 1044, 1670, 5850, 3932, 4045, 2300, 2700, 3290, 2000, 1800, 2400, 1200, 1700, 1950, 1500, 2800, 2700, 1050, 2422, 2200, 1922, 1400, 2956, 1800, 3402, 2550, 2000, 2072, 3075, 3300, 1200, 3200, 4400, 938, 3452, 5448, 2578, 6614, 2890, 4248, 2454, 2368, 3364, 3910, 4464, 3246, 1556, 1756, 5754, 2366, 2500, 4864, 2000, 1200, 8186, 2200, 4000, 2700, 2390, 2746, 2350, 3156, 3060, 6712, 2600, 4200, 5100, 4660, 4400, 4060, 5184, 3570, 6085, 2984, 2400, 3200, 4152, 6338, 4300, 3409, 2575, 3246, 4216, 3448, 4482, 4034, 3408, 8104, 3200, 3757, 2700, 4824, 3630, 3870, 3262, 2772, 5682, 4500, 3100, 2250, 8206, 2245, 5722, 3800, 4121, 2856, 1780, 6600, 3681, 4500, 3550, 3926, 5576, 5400, 6282, 2030, 3013, 2900, 1050, 3983, 375, 5400, 4498, 3912, 5154, 3764, 2650, 5080, 7208, 1950, 1500, 2446, 3096, 4860, 1850, 5302, 5302, 5302, 3000, 3650, 2748, 3096, 1850, 3660, 1400, 2500, 2000, 2425, 3348, 9804, 2100, 1100, 2010, 2000, 4452, 5990, 2920, 3450, 976, 3275, 1400, 2460, 4000, 1400, 2062, 2086, 2632, 3505, 5336, 3332, 2800, 1600, 2284, 3600, 1665, 4666, 2808, 2313, 3286, 4000, 3644, 2600, 2426, 2600, 2850, 2460, 4220, 3404, 3496, 2536, 4667, 2442, 4604, 3296, 2000, 3472, 2400, 2774, 2516, 2490, 3500, 3422, 3400, 3152, 3728, 5122, 4790, 4948, 1900, 5666, 3470, 1750, 1230, 3000, 3582, 3530, 2730, 3700, 2014, 4500, 1800, 5194, 2870, 2706, 1500, 5358, 1200, 4550, 2532, 2784, 2000, 3635, 3890, 2000, 8546, 5496, 4650, 4260, 5433, 3760, 6210, 4524, 2955, 2120, 2520, 2550, 2349, 1680, 3700, 1774, 3252, 2210, 3600, 3140, 1700, 4350, 2082, 3500, 3596, 1800, 4278, 2200, 1125, 2510, 1150, 4750, 1328, 2288, 1000, 2500, 1065, 5783, 1700, 2470, 4788, 2060, 2100, 1518, 6000, 1868, 3000, 3258, 3604, 5934, 2300, 1410, 2520, 2358, 3000, 2500, 3200, 2409, 1600, 3785, 2300, 3770, 3600, 2100, 3977, 3502, 4314, 4111, 4184, 3000, 3935, 5441, 4538, 4750, 3204, 2716, 6440, 3250, 5700, 6606, 5150, 6130, 4512, 4162, 3600, 5666, 5518, 3420, 6000, 3649, 8010, 3350, 3480, 4430, 3140, 3241, 4968, 3200, 2037, 3938, 5534, 6900, 6918, 4178, 5508, 3416, 4300, 2572, 3136, 3030, 1830, 4376, 3300, 2556, 2050, 2460, 4762, 3796, 3000, 2600, 4764, 3454, 3910, 4118, 4768, 5820, 4512, 4310, 4180, 4292, 4044, 4700, 4666, 4866, 4420, 3708, 4256, 4854, 4500, 4800, 3770, 3434, 3678, 5052, 4410, 2174, 2700, 2302, 2025, 3300, 1800, 4908, 4500, 4150, 6274, 770, 2892, 3734, 2975, 2600, 2980, 3120, 2754, 2000, 3180, 3330, 3960, 2703, 3000, 4170, 3542, 3561, 3495, 3180, 3400, 2620, 4065, 5332, 4790, 2800, 3310, 4896, 3520, 4840, 2500, 3150, 2700, 3306, 3300, 4830, 3040, 4800, 4800, 4800, 1780, 2236, 3816, 2668, 4401, 2925, 1000, 3400, 2924, 3282, 1800
#> $ tuitfee_grad_res              <dbl> 9366, 7588, 13090, 10342, 10470, 10696, 10380, 10576, 6824, 19140, 7948, 9821, 12110, 11506, 12383, 9407, 9284, 8350, 5918, 5958, 5881, 16178, 13152, 5940, 16444, 12140, 17650, 10341, 8123, 7994, 7876, 8333, 8306, 7689, 7579, 7826, 7830, 7726, 7649, 7853, 8166, 13237, 13064, 12683, 13338, 13085, 27266, 8150, 17022, 14980, 17635, 18032, 8475, 13500, 13818, 10587, 11232, 15776, 17332, 44448, 31420, 10980, 20272, 8350, 25824, 7750, 23360, 8684, 27594, 36657, 8654, 42305, 35080, 6898, 8452, 9983, 12610, 13407, 11716, 45591, 11250, 20904, 17450, 10956, 15996, 16712, 12570, 15860, 18450, 20745, 13650, 11219, 11298, 31752, 8240, 29112, 17626, 28845, 13410, 17820, 13150, 8872, 17590, 9876, 6657, 22588, 11097, 16925, 12737, 13320, 23164, 35216, 10367, 19175, 11155, 18996, 9630, 10428, 14076, 16768, 12719, 10664, 9062, 5004, 12136, 6966, 7556, 42980, 15652, 4706, 7209, 8728, 10762, 8910, 6490, 5958, 18600, 16168, 17320, 8440, 8502, 8530, 8971, 10800, 15560, 14688, 19290, 9705, 29980, 9268, 16343, 17888, 8970, 30284, 14410, 19442, 9662, 11352, 15372, 12906, 13839, 50864, 7797, 14945, 24750, 12880, 19309, 18320, 13677, 15550, 14583, 7954, 11325, 11663, 6950, 12420, 7872, 36080, 8997, 7328, 7243, 13000, 17333, 11498, 11700, 9549, 10357, 6996, 16300, 17964, 10230, 7806, 4055, 10068, 10438, 9712, 10532, 12000, 7732, 10764, 10085, 8360, 6078, 10950, 12204, 5970, 6702, 11400, 11887, 9076, 7575, 8298, 7852, 8662, 8369, 9332, 9450, 51010, 8666, 8460, 7670, 25150, 14648, 9106, 9540, 8310, 52210, 15900, 8514, 13256, 8478, 12167, 8370, 14166, 10530, 11650, 22420, 34380, 27306, 49886, 48595, 10238, 13736, 42830, 14793, 5742, 14679, 15613, 17218, 22913, 7191, 20718, 29835, 15399, 32385, 24120, 25404, 5364, 25818, 12232, 13732, 27666, 16355, 13712, 13486, 19266, 21794, 16764, 12022, 10391, 16338, 13219, 11020, 7217, 16503, 14235, 12778, 9630, 8550, 8532, 7854, 17735, 8820, 8256, 8100, 24600, 14436, 7662, 7404, 6546, 10080, 6418, 7261, 7744, 6878, 10806, 7780, 7659, 8700, 8670, 7384, 8622, 7596, 12978, 16332, 9405, 6893, 8025, 15520, 19896, 7408, 5554, 49280, 12690, 8500, 5893, 10335, 4803, 6090, 8810, 14038, 4731, 5500, 5287, 17175, 13735, 18810, 9738, 9860, 17120, 15858, 22434, 18910, 16070, 15678, 12140, 16472, 24856, 12140, 21814, 17676, 22689, 18633, 19536, 34514, 13900, 12024, 12384, 6017, 6016, 9306, 4941, 14376, 4650, 38958, 33487, 15034, 29936, 27250, 45554, 29585, 10438, 10562, 10560, 16850, 16484, 32651, 23290, 19606, 27198, 13826, 30176, 18045, 14040, 15776, 20120, 13660, 13230, 42886, 42368, 21970, 10700, 29680, 13782, 42078, 12290, 13194, 15196, 16533, 16110, 16228, 12694, 12921, 13347, 12566, 11581, 12154, 11933, 11385, 11350, 35874, 17200, 18033, 20000, 7721, 11875, 7288, 12654, 5533, 7772, 9900, 13875, 7447, 11606, 7278, 7753, 7124, 10572, 7043, 5924, 11520, 11730, 38010, 9450, 7192, 12820, 8240, 8643, 6532, 9136, 5713, 12697, 9397, 11250, 42610, 14468, 9679, 16070, 15085, 16008, 11090, 12267, 10620, 10260, 13528, 8964, 11325, 11070, 12425, 9510, 12600, 14721, 18812, 19236, 12070, 13474, 10920, 8902, 11175, 23440, 6794, 4572, 7735, 15804, 8169, 4770, 6426, 22720, 12196, 15504, 15180, 13801, 16243, 30634, 14565, 17496, 16002, 19560, 13403, 14165, 11610, 15508, 16391, 16722, 16688, 7962, 33024, 22212, 16430, 17920, 11934, 12222, 13522, 14515, 23590, 44350, 25560, 11420, 10715, 12060, 20912, 35604, 16848, 12240, 25550, 11402, 13272, 14976, 15363, 16676, 18017, 15840, 13991, 25100, 24096, 13260, 26832, 11826, 8880, 13362, 9280, 8242, 3790, 15075, 12984, 9682, 7650, 12798, 13440, 14612, 6840, 8558, 9773, 20890, 8780, 22860, 5700, 18576, 9371, 9024, 11446, 18986, 10463, 9234, 9876, 12834, 9896, 9420, 10371, 6426, 6890, 19890, 6395, 31500, 12590, 6300, 16208, 30200, 5059, 5776, 18966, 8434, 7768, 6990, 8938, 17505, 8006, 5717, 20115, 16390, 5878, 7183, 16206, 7144, 36252, 25242, 21258, 7323, 16250, 46560, 11310, 6427, 7968, 6109, 5369, 8904, 8819, 11300, 12418, 5623, 6376, 26688, 7101, 6718, 7525, 6886, 11800, 6349, 6680, 8036, 6277, 7822, 7527, 8589, 13594, 14436, 19249, 17012, 14258, 13226, 13775, 13724, 10811, 10752, 8430, 8912, 9618, 17100, 11480, 21494, 14532, 13143, 17680, 13914, 11794, 16881, 18402, 25481, 13800, 20118, 12753, 16266, 10503, 11952, 7504, 9000, 10876, 12015, 10539, 10290, 16164, 10305, 4860, 19350, 7936, 8911, 8762, 11789, 8706, 9036, 5673, 3552, 3552, 3552, 10002, 10992, 11460, 8649, 12380, 7645, 6790, 8961, 7813, 9000, 6834
#> $ tuitfee_grad_nres             <dbl> 17496, 17294, 13090, 22338, 26950, 28840, 10380, 21232, 12422, 19140, 15094, 18960, 12110, 24176, 32135, 18294, 19004, 19813, 10544, 10890, 10475, 16178, 13152, 8370, 16444, 12140, 17650, 19269, 17051, 16922, 16804, 17261, 17234, 16617, 16507, 16754, 16758, 16654, 16577, 16781, 17094, 28339, 28166, 27785, 28440, 28187, 27266, 8150, 17022, 14980, 17635, 18032, 17403, 13500, 13818, 10587, 11232, 15776, 17332, 44448, 31420, 10980, 20272, 17278, 25824, 16678, 23360, 17612, 27594, 36657, 17582, 42305, 35080, 12820, 24112, 20153, 30430, 13407, 25692, 45591, 11250, 20904, 17450, 23756, 37032, 16712, 12570, 15860, 18450, 20745, 13650, 24019, 24098, 31752, 8240, 29112, 17626, 28845, 13410, 17820, 13150, 28657, 17590, 24669, 18446, 22588, 24202, 16925, 30130, 13320, 23164, 35216, 21933, 19175, 11155, 18996, 9630, 21126, 14076, 16768, 12719, 10664, 24894, 15192, 12136, 14961, 13802, 42980, 30072, 14624, 20508, 28610, 26360, 8910, 17866, 17460, 18600, 37648, 17320, 22890, 22583, 23338, 8971, 10800, 15560, 14688, 19290, 19425, 29980, 16636, 25297, 17888, 16542, 30284, 14410, 19442, 9662, 11352, 15372, 12906, 22407, 50864, 14205, 14945, 24750, 12880, 19309, 18320, 13677, 15550, 30369, 12938, 15209, 11663, 6950, 12420, 7872, 36080, 17191, 14186, 16256, 13000, 17333, 11498, 11700, 22861, 27961, 6996, 16300, 17964, 10230, 20298, 10333, 10068, 23134, 9712, 22690, 12000, 17816, 10764, 10085, 16896, 13609, 10950, 12204, 5970, 6702, 16320, 28822, 21961, 18650, 21737, 18783, 20762, 20846, 19332, 23178, 51010, 25640, 8460, 19298, 25150, 20570, 14308, 11556, 8310, 52210, 15900, 12132, 26810, 15264, 12167, 13572, 14166, 10530, 11650, 22420, 34380, 27306, 49886, 48595, 10238, 13736, 42830, 14793, 5742, 26228, 31733, 33268, 22913, 8811, 20718, 29835, 27473, 32385, 24120, 25404, 5364, 25818, 18216, 13732, 27666, 29075, 13712, 13486, 19266, 43674, 32940, 20720, 15354, 24648, 24867, 11020, 7217, 33696, 29118, 12778, 9630, 8550, 8532, 15039, 26615, 8820, 12084, 8100, 24600, 14436, 7662, 10804, 6546, 10080, 6418, 17614, 22012, 6878, 10806, 20900, 16529, 8700, 8670, 14067, 8622, 7596, 12978, 16332, 9405, 11445, 8025, 15520, 19896, 12868, 10234, 49280, 12690, 8500, 20554, 10335, 8403, 14428, 22088, 14038, 8331, 19410, 19197, 17175, 13735, 18810, 11124, 9860, 17120, 15858, 22434, 18910, 16070, 15678, 19910, 21147, 24856, 17513, 30898, 17676, 22689, 30225, 19536, 34514, 19663, 12024, 19242, 11963, 9150, 24169, 15107, 14376, 10354, 38958, 33487, 15034, 29936, 27250, 45554, 29585, 19028, 19152, 19150, 16850, 16484, 32651, 23290, 19606, 27198, 13826, 30176, 18045, 14040, 15776, 20120, 13660, 13230, 42886, 42368, 21970, 10700, 29680, 13782, 42078, 12290, 13194, 15196, 16533, 16110, 16228, 24034, 24261, 24687, 23906, 22921, 23494, 23273, 22725, 22690, 35874, 17200, 18033, 20000, 20890, 11875, 20179, 12654, 16381, 7772, 9900, 13875, 19852, 28817, 20449, 21202, 19824, 25094, 19262, 16181, 11520, 11730, 38010, 9450, 17599, 12820, 8240, 20642, 15835, 14642, 5713, 12697, 15049, 11250, 42610, 26210, 16411, 16070, 15085, 16008, 19362, 12267, 10620, 10260, 30242, 8964, 11325, 11070, 32873, 17502, 12600, 25057, 18812, 19236, 12070, 22890, 10920, 13402, 11175, 23440, 15761, 9486, 22503, 15804, 22272, 10980, 12762, 22720, 14788, 15504, 15180, 23450, 26611, 30634, 22053, 17496, 19602, 19560, 13403, 20261, 11610, 22519, 16391, 16722, 24275, 7962, 33024, 22212, 16430, 17920, 11934, 12222, 13522, 21225, 23590, 44350, 25560, 19088, 10715, 12060, 35214, 35604, 16848, 12240, 25550, 11402, 13272, 21072, 22330, 22526, 18017, 15840, 20015, 25100, 24096, 13260, 26832, 11826, 8880, 25772, 9280, 8242, 3790, 15075, 32958, 19280, 7650, 27408, 24264, 27870, 6840, 15491, 23753, 20890, 8780, 22860, 5700, 18576, 23627, 9024, 11446, 18986, 19247, 23346, 25994, 31252, 15656, 21060, 24891, 6426, 6890, 19890, 13740, 31500, 12590, 14073, 16208, 30200, 13004, 13120, 18966, 17056, 14212, 14334, 18082, 17505, 15350, 13490, 20115, 16390, 7048, 14527, 16206, 15172, 36252, 25242, 21258, 14667, 16250, 46560, 11310, 13771, 16128, 13452, 12713, 19073, 17316, 21518, 24150, 13452, 13774, 26688, 22700, 13910, 14869, 14231, 11800, 7028, 6680, 23617, 19586, 18348, 23902, 17073, 13594, 14436, 19249, 40076, 30500, 13226, 13775, 32402, 10811, 28296, 8430, 8912, 18492, 17100, 28860, 21494, 27764, 25271, 28504, 13914, 26279, 16881, 18402, 25481, 13800, 20118, 26185, 28314, 20787, 11952, 16060, 23238, 10876, 12015, 10539, 10290, 16164, 10305, 4860, 19350, 7936, 18042, 17893, 24826, 17837, 18167, 14313, 3552, 3552, 3552, 28804, 10992, 11460, 17577, 12380, 16573, 6790, 31216, 16741, 9000, 19234
#> $ coa_grad_res                  <dbl> 22886, 25356, 25790, 25211, 28836, 30458, 24880, 23756, 18408, 35488, 20119, 27551, 32550, 26533, 29683, 24739, 25618, 23832, 21167, 24768, 19606, 26548, 19302, 21394, 34888, 30458, 36191, 27342, 26725, 22910, 26095, 25287, 23936, 25211, 24521, 26530, 25920, 25468, 26353, 22993, 25108, 29109, 30027, 30126, 29379, 30378, 45134, 26590, 28066, 34366, 37365, 37616, 25217, 32041, 32637, 30167, 27624, 35450, 35860, 62889, 49750, 29420, 38695, 25514, 44274, 26498, 42750, 27390, 46035, 53174, 27250, 59733, 53530, 21154, 26650, 26783, 28492, 24917, 23969, 61446, 26016, 40945, 37678, 26430, 31932, 33452, 28334, 31088, 35600, 35557, 28044, 26289, 27402, 46120, 17840, 46531, 37766, 44520, 28550, 38420, 31341, 24758, 34274, 26963, 25059, 40398, 29878, 30475, 27607, 34904, 40980, 55698, 25335, 47810, 26639, 37946, 25582, 25428, 37371, 33294, 20219, 22294, 21716, 20784, 27620, 22438, 22316, 60106, 33352, 19822, 27162, 25382, 23752, 21740, 21942, 20502, 34923, 33049, 38102, 22644, 23703, 21938, 21961, 19178, 29010, 23438, 36145, 21468, 40480, 28036, 32253, 33888, 23532, 41784, 25414, 33742, 21412, 33942, 31398, 24986, 28599, 70505, 23274, 29605, 36840, 25730, 36809, 37669, 25797, 27062, 28810, 20773, 25375, 21663, 13750, 28917, 20072, 50654, 23139, 20502, 19415, 24082, 28933, 23218, 25500, 21330, 23315, 20150, 32894, 30516, 24280, 20668, 16681, 23580, 24198, 25057, 22910, 27493, 20009, 21172, 23722, 23193, 22422, 28994, 23054, 19420, 23002, 23420, 34239, 21727, 21787, 22510, 22138, 22874, 22577, 24257, 23662, 67114, 22030, 19560, 21850, 35050, 34598, 26020, 20646, 23850, 64729, 26690, 29794, 32354, 26899, 23267, 23722, 23286, 19542, 26110, 29420, 51970, 40456, 67706, 62425, 26038, 25936, 53130, 27246, 15322, 22951, 29910, 30174, 40763, 22103, 39048, 44725, 28671, 51542, 38390, 41014, 15332, 41782, 21516, 24412, 43508, 27333, 29306, 26186, 35074, 36168, 29992, 24750, 24007, 27818, 27000, 23616, 19043, 32587, 27110, 33836, 22280, 21050, 20106, 27150, 30312, 17540, 20386, 19490, 37046, 26796, 19704, 20124, 24170, 22880, 18992, 20761, 23606, 20072, 25778, 23582, 22429, 23985, 22182, 19134, 19312, 17852, 28314, 30832, 20535, 18426, 19471, 31346, 35184, 20900, 18976, 69264, 31310, 14950, 19876, 24735, 18391, 19448, 23466, 26694, 15733, 21670, 21645, 33675, 28685, 37730, 23028, 26972, 36520, 32073, 37095, 34990, 33902, 30434, 30286, 32379, 38983, 29980, 40114, 36376, 35819, 40930, 30936, 51114, 31422, 19767, 30184, 18961, 20136, 25012, 18947, 31026, 19420, 56906, 48933, 25534, 43690, 40946, 68824, 46245, 30817, 30941, 30939, 32620, 31634, 48335, 44701, 37356, 42388, 29496, 59676, 36255, 30715, 28744, 40830, 26860, 28895, 59485, 63016, 43084, 26990, 51712, 25554, 56604, 23765, 26857, 31212, 28033, 30350, 31355, 25730, 24643, 29289, 31702, 28932, 28554, 27723, 26797, 28398, 54196, 35509, 32277, 36395, 20087, 28235, 21453, 27649, 16429, 17072, 25510, 23779, 20220, 28670, 21797, 19989, 22927, 24731, 21375, 18933, 25720, 23702, 55214, 20624, 21959, 23824, 21104, 20921, 18868, 25630, 15853, 28283, 22643, 28748, 60008, 33736, 25949, 31500, 23350, 31258, 26592, 23073, 22430, 21460, 29212, 19014, 23325, 23724, 28235, 25514, 26300, 28743, 32736, 31436, 24244, 28882, 25650, 22627, 24101, 32040, 26712, 17706, 22485, 31378, 24596, 15074, 18966, 39782, 25506, 29102, 27250, 29776, 29521, 45186, 32555, 27690, 29952, 31912, 23603, 27417, 24510, 31382, 30277, 32264, 32430, 24090, 53369, 37572, 25955, 33486, 17984, 30172, 25992, 29947, 33090, 55050, 40315, 28068, 23415, 28876, 38770, 53480, 23298, 28138, 44550, 23970, 26684, 28938, 28597, 35946, 34510, 25840, 30571, 36948, 37214, 27420, 40332, 22435, 25070, 27933, 23430, 24002, 17840, 24140, 29017, 23636, 24056, 28472, 26712, 26076, 20355, 23207, 25572, 38370, 21092, 35276, 21230, 33306, 24113, 22140, 25676, 31516, 25543, 23182, 23976, 30336, 24810, 21750, 27421, 20046, 25550, 33800, 19291, 47950, 24208, 19523, 33128, 43100, 18028, 18894, 34473, 26102, 24616, 20364, 26813, 32915, 20856, 16655, 35133, 28310, 17070, 20519, 28578, 18355, 52852, 39864, 37204, 20839, 24550, 58660, 31066, 19941, 19958, 21137, 18947, 26146, 22947, 26342, 27988, 20627, 21682, 44438, 22325, 26082, 22226, 18529, 28706, 20785, 19440, 21936, 18737, 18192, 22373, 22841, 26908, 28186, 36369, 30514, 29015, 25491, 24575, 32018, 28111, 25226, 24521, 20802, 24828, 35264, 26319, 35584, 27442, 30347, 32454, 26562, 26815, 32461, 31162, 39339, 26900, 37287, 28611, 35277, 25428, 25557, 20330, 20860, 23416, 24564, 23125, 24970, 28644, 21815, 12930, 37358, 19946, 19999, 20062, 25925, 19856, 21836, 20233, 18052, 18052, 18052, 22462, 23564, 28180, 25907, 29829, 27359, 13990, 23233, 26517, 30982, 23762
#> $ coa_grad_nres                 <dbl> 31016, 35062, 25790, 37207, 45316, 48602, 24880, 34412, 24006, 35488, 27265, 36690, 32550, 39203, 49435, 33626, 35338, 35295, 25793, 29700, 24200, 26548, 19302, 23824, 34888, 30458, 36191, 36270, 35653, 31838, 35023, 34215, 32864, 34139, 33449, 35458, 34848, 34396, 35281, 31921, 34036, 44211, 45129, 45228, 44481, 45480, 45134, 26590, 28066, 34366, 37365, 37616, 34145, 32041, 32637, 30167, 27624, 35450, 35860, 62889, 49750, 29420, 38695, 34442, 44274, 35426, 42750, 36318, 46035, 53174, 36178, 59733, 53530, 27076, 42310, 36953, 46312, 24917, 37945, 61446, 26016, 40945, 37678, 39230, 52968, 33452, 28334, 31088, 35600, 35557, 28044, 39089, 40202, 46120, 17840, 46531, 37766, 44520, 28550, 38420, 31341, 44543, 34274, 41756, 36848, 40398, 42983, 30475, 45000, 34904, 40980, 55698, 36901, 47810, 26639, 37946, 25582, 36126, 37371, 33294, 20219, 22294, 37548, 30972, 27620, 30433, 28562, 60106, 47772, 29740, 40461, 45264, 39350, 21740, 33318, 32004, 34923, 54529, 38102, 37094, 37784, 36746, 21961, 19178, 29010, 23438, 36145, 31188, 40480, 35404, 41207, 33888, 31104, 41784, 25414, 33742, 21412, 33942, 31398, 24986, 37167, 70505, 29682, 29605, 36840, 25730, 36809, 37669, 25797, 27062, 44596, 25757, 29259, 21663, 13750, 28917, 20072, 50654, 31333, 27360, 28428, 24082, 28933, 23218, 25500, 34642, 40919, 20150, 32894, 30516, 24280, 33160, 22959, 23580, 36894, 25057, 35068, 27493, 30093, 21172, 23722, 31729, 29953, 28994, 23054, 19420, 23002, 28340, 51174, 34612, 32862, 35949, 33069, 34974, 35054, 34257, 37390, 67114, 39004, 19560, 33478, 35050, 40520, 31222, 22662, 23850, 64729, 26690, 33412, 45908, 33685, 23267, 28924, 23286, 19542, 26110, 29420, 51970, 40456, 67706, 62425, 26038, 25936, 53130, 27246, 15322, 34500, 46030, 46224, 40763, 23723, 39048, 44725, 40745, 51542, 38390, 41014, 15332, 41782, 27500, 24412, 43508, 40053, 29306, 26186, 35074, 58048, 46168, 33448, 28970, 36128, 38648, 23616, 19043, 49780, 41993, 33836, 22280, 21050, 20106, 34335, 39192, 17540, 24214, 19490, 37046, 26796, 19704, 23524, 24170, 22880, 18992, 31114, 37874, 20072, 25778, 36702, 31299, 23985, 22182, 25817, 19312, 17852, 28314, 30832, 20535, 22978, 19471, 31346, 35184, 26360, 23656, 69264, 31310, 14950, 34537, 24735, 21991, 27786, 36744, 26694, 19333, 35580, 35555, 33675, 28685, 37730, 24414, 26972, 36520, 32073, 37095, 34990, 33902, 30434, 38056, 37054, 38983, 35353, 49198, 36376, 35819, 52522, 30936, 51114, 37185, 19767, 37042, 24907, 23270, 39875, 29113, 31026, 25124, 56906, 48933, 25534, 43690, 40946, 68824, 46245, 39407, 39531, 39529, 32620, 31634, 48335, 44701, 37356, 42388, 29496, 59676, 36255, 30715, 28744, 40830, 26860, 28895, 59485, 63016, 43084, 26990, 51712, 25554, 56604, 23765, 26857, 31212, 28033, 30350, 31355, 37070, 35983, 40629, 43042, 40272, 39894, 39063, 38137, 39738, 54196, 35509, 32277, 36395, 33256, 28235, 34344, 27649, 27277, 17072, 25510, 23779, 32625, 45881, 34968, 33438, 35627, 39253, 33594, 29190, 25720, 23702, 55214, 20624, 32366, 23824, 21104, 32920, 28171, 31136, 15853, 28283, 28295, 28748, 60008, 45478, 32681, 31500, 23350, 31258, 34864, 23073, 22430, 21460, 45926, 19014, 23325, 23724, 48683, 33506, 26300, 39079, 32736, 31436, 24244, 38298, 25650, 27127, 24101, 32040, 35679, 22620, 37253, 31378, 38699, 21284, 25302, 39782, 28098, 29102, 27250, 39425, 39889, 45186, 40043, 27690, 33552, 31912, 23603, 33513, 24510, 38393, 30277, 32264, 40017, 24090, 53369, 37572, 25955, 33486, 17984, 30172, 25992, 36657, 33090, 55050, 40315, 35736, 23415, 28876, 53072, 53480, 23298, 28138, 44550, 23970, 26684, 35034, 35564, 41796, 34510, 25840, 36595, 36948, 37214, 27420, 40332, 22435, 25070, 40343, 23430, 24002, 17840, 24140, 48991, 33234, 24056, 43082, 37536, 39334, 20355, 30140, 39552, 38370, 21092, 35276, 21230, 33306, 38369, 22140, 25676, 31516, 34327, 37294, 40094, 48754, 30570, 33390, 41941, 20046, 25550, 33800, 26636, 47950, 24208, 27296, 33128, 43100, 25973, 26238, 34473, 34724, 31060, 27708, 35957, 32915, 28200, 24428, 35133, 28310, 18240, 27863, 28578, 26383, 52852, 39864, 37204, 28183, 24550, 58660, 31066, 27285, 28118, 28480, 26291, 36315, 31444, 36560, 39720, 28456, 29080, 44438, 37924, 33274, 29570, 25874, 28706, 21464, 19440, 37517, 32046, 28718, 38748, 31325, 26908, 28186, 36369, 53578, 45257, 25491, 24575, 50696, 28111, 42770, 24521, 20802, 33702, 35264, 43699, 35584, 40674, 42475, 43278, 26562, 41300, 32461, 31162, 39339, 26900, 37287, 42043, 47325, 35712, 25557, 28886, 35098, 23416, 24564, 23125, 24970, 28644, 21815, 12930, 37358, 19946, 29130, 29193, 38962, 28987, 30967, 28873, 18052, 18052, 18052, 41264, 23564, 28180, 34835, 29829, 36287, 13990, 45488, 35445, 30982, 36162

# df_mba_fac
df_mba_fac %>% glimpse()
#> Rows: 665
#> Columns: 36
#> $ opeid6                        <chr> "001002", "001052", "025034", "001055", "001051", "001009", "001003", "001004", "001016", "001036", "001047", "001063", "001061", "001081", "001083", "001082", "001101", "001108", "001090", "001089", "001092", "001097", "001100", "001107", "001117", "001125", "001133", "001143", "007993", "001157", "001142", "001144", "001146", "001141", "001147", "001137", "001138", "001139", "001140", "001153", "001150", "001313", "001314", "001315", "001316", "001317", "001164", "020705", "001196", "001253", "001205", "001183", "001149", "001216", "001215", "001243", "011460", "001179", "001252", "001329", "010149", "001262", "001322", "001151", "010395", "001154", "001325", "001155", "001326", "001302", "001156", "001328", "001343", "001345", "004508", "004509", "001370", "009401", "001350", "001371", "001363", "001374", "001416", "001378", "001417", "001385", "001422", "001397", "001402", "001403", "001409", "001406", "001380", "001431", "007948", "001434", "001443", "001444", "001460", "001466", "001505", "003954", "001479", "001480", "001481", "001469", "009635", "001488", "001535", "001495", "021519", "001536", "009841", "001509", "008849", "001515", "001526", "001537", "001468", "001531", "001521", "001538", "003955", "001544", "001556", "008976", "001561", "001564", "001569", "001573", "001602", "001572", "001598", "001588", "001599", "001601", "001605", "001610", "007279", "001616", "001620", "001626", "001624", "001634", "001641", "001666", "001671", "001674", "001676", "009145", "001776", "001767", "001692", "001700", "001707", "001710", "001722", "001733", "001734", "001735", "001737", "001739", "001693", "001741", "001746", "001748", "001749", "001750", "001664", "001768", "001758", "001759", "001780", "001785", "001787", "001788", "001800", "001804", "001808", "001807", "001811", "001822", "001832", "001842", "001891", "001869", "001892", "001880", "001889", "001893", "001903", "001927", "001915", "001918", "001948", "001939", "001928", "007032", "001926", "001943", "001940", "001949", "001950", "001954", "001959", "001962", "001975", "002002", "002010", "002008", "002017", "002015", "002005", "002020", "002024", "002025", "002031", "002029", "002053", "002051", "002054", "002052", "002102", "002062", "002072", "002076", "002077", "002078", "011644", "002103", "002083", "002086", "002091", "002114", "002117", "002118", "002122", "002124", "002128", "002130", "002133", "002183", "021829", "002139", "002143", "002184", "002161", "002221", "002222", "002199", "002188", "002208", "002211", "002210", "002218", "002226", "002233", "002190", "002238", "002243", "002249", "002323", "002259", "002262", "002266", "002279", "002325", "002290", "002326", "002327", "002307", "002314", "002316", "002318", "002329", "002330", "002334", "009058", "002347", "002354", "010374", "003969", "002371", "002377", "002380", "002345", "002342", "002375", "002394", "002396", "002397", "002403", "002410", "002440", "002424", "002415", "002423", "002441", "002447", "002449", "002454", "002461", "002463", "002464", "002480", "007540", "002496", "002498", "002499", "002506", "002501", "002503", "002520", "002521", "002525", "002536", "009743", "002539", "002554", "002565", "002540", "002566", "002569", "002568", "002575", "002579", "002580", "002591", "002586", "002598", "002599", "002607", "002610", "002608", "002609", "002613", "002622", "002616", "002617", "002621", "009344", "002628", "002629", "002638", "002639", "009345", "021922", "002625", "002651", "002653", "002663", "002657", "002650", "002664", "002666", "002668", "002681", "002699", "009769", "002707", "002711", "007273", "002687", "007022", "002712", "002713", "002722", "002732", "002737", "002744", "002748", "002751", "002758", "002765", "002772", "002775", "002778", "002703", "020662", "002785", "002782", "002790", "002791", "002805", "002806", "002810", "002817", "002705", "002825", "002821", "002823", "002835", "002836", "002837", "002838", "002842", "002846", "002848", "010286", "002853", "002882", "010142", "002883", "002899", "002906", "002913", "002923", "002927", "002928", "002929", "002941", "002948", "002905", "002974", "002975", "002976", "002950", "002972", "002984", "002954", "002955", "002957", "002978", "002985", "002981", "002992", "002994", "003005", "002997", "003123", "003012", "003014", "003018", "003023", "003024", "003125", "003032", "003127", "003045", "003050", "003051", "003066", "003069", "003072", "003077", "007085", "003033", "003035", "003090", "003100", "003121", "003131", "010923", "003134", "003135", "003078", "003144", "003145", "003151", "003149", "003152", "003161", "003170", "003166", "003184", "003179", "003181", "003185", "003193", "003194", "003208", "003210", "003223", "003212", "003216", "003224", "003219", "003986", "003233", "003315", "003241", "003316", "003303", "003244", "003318", "003252", "003256", "003258", "003259", "003266", "003267", "003270", "003275", "003277", "003287", "003288", "003289", "003290", "003296", "003988", "003329", "003378", "003357", "003360", "003366", "003384", "003362", "003326", "003327", "003371", "003388", "003391", "003328", "003313", "003394", "003399", "003402", "003404", "003406", "003414", "003411", "003418", "003419", "003422", "003428", "003425", "003441", "003448", "003451", "003456", "003469", "003474", "003478", "003479", "003481", "003482", "003485", "003486", "003487", "003496", "003500", "003502", "003509", "003510", "003529", "003530", "003531", "003522", "003523", "003527", "003528", "003537", "003541", "003545", "003557", "011161", "003560", "003651", "031703", "003565", "003576", "011711", "003612", "013231", "003652", "003578", "003581", "009651", "003584", "003588", "003592", "003594", "003598", "003630", "003604", "003621", "003654", "003606", "003623", "003613", "003616", "003624", "003615", "003631", "003639", "003632", "003656", "003658", "009741", "003661", "011163", "003636", "010115", "003642", "003644", "003646", "003663", "003665", "003670", "003678", "003677", "004027", "003675", "003680", "003681", "003684", "003692", "003696", "003705", "030913", "003708", "003749", "003714", "003721", "020530", "003720", "003746", "003724", "003728", "003737", "003754", "003735", "003745", "013022", "003775", "003778", "003783", "003785", "003794", "003790", "003800", "003798", "003802", "003804", "003812", "003827", "003832", "003837", "003838", "003842", "003848", "003854", "003861", "003863", "003911", "003917", "003920", "003896", "003921", "003923", "003932", "025875", "003941", "011719", "001825", "006942", "041618", "030113", "030375", "032603", "033394", "032553", "039803", "041425", "001579"
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#> $ instnm                        <chr> "Alabama A & M University", "University of Alabama at Birmingham", "Amridge University", "University of Alabama in Huntsville", "The University of Alabama", "Auburn University", "Faulkner University", "University of Montevallo", "University of North Alabama", "Samford University", "Troy University", "University of Alaska Fairbanks", "Alaska Pacific University", "Arizona State University-Tempe", "University of Arizona", "Northern Arizona University", "University of Arkansas at Little Rock", "University of Arkansas", "Arkansas State University-Main Campus", "Arkansas Tech University", "University of Central Arkansas", "Harding University", "John Brown University", "Southern Arkansas University Main Campus", "Azusa Pacific University", "California Baptist University", "California Lutheran University", "California Polytechnic State University-San Luis Obispo", "California State University-Bakersfield", "California State University-Stanislaus", "California State University-San Bernardino", "California State Polytechnic University-Pomona", "California State University-Chico", "California State University-Dominguez Hills", "California State University-Fresno", "California State University-Fullerton", "California State University-East Bay", "California State University-Long Beach", "California State University-Los Angeles", "California State University-Northridge", "California State University-Sacramento", "University of California-Davis", "University of California-Irvine", "University of California-Los Angeles", "University of California-Riverside", "University of California-San Diego", "Chapman University", "Concordia University-Irvine", "Dominican University of California", "Fresno Pacific University", "Golden Gate University-San Francisco", "Holy Names University", "Humboldt State University", "University of La Verne", "La Sierra University", "Mount Saint Mary's University", "National University", "Notre Dame de Namur University", "Hope International University", "University of the Pacific", "Pepperdine University", "Point Loma Nazarene University", "University of Redlands", "San Diego State University", "University of San Diego", "San Francisco State University", "University of San Francisco", "San Jose State University", "Santa Clara University", "Saint Mary's College of California", "Sonoma State University", "University of Southern California", "Woodbury University", "Adams State University", "University of Colorado Denver/Anschutz Medical Campus", "University of Colorado Colorado Springs", "University of Colorado Boulder", "Colorado Christian University", "Colorado State University-Fort Collins", "University of Denver", "Regis University", "Albertus Magnus College", "University of Bridgeport", "Central Connecticut State University", "University of Connecticut", "Fairfield University", "University of Hartford", "University of New Haven", "Quinnipiac University", "Sacred Heart University", "University of Saint Joseph", "Southern Connecticut State University", "Western Connecticut State University", "University of Delaware", "Wilmington University", "American University", "Gallaudet University", "George Washington University", "Trinity Washington University", "Barry University", "Lynn University", "University of Central Florida", "Embry-Riddle Aeronautical University-Daytona Beach", "Florida Agricultural and Mechanical University", "Florida Atlantic University", "Florida Institute of Technology", "Florida International University", "Florida Southern College", "University of Florida", "Jacksonville University", "Keiser University-Ft Lauderdale", "University of Miami", "University of North Florida", "Nova Southeastern University", "Palm Beach Atlantic University", "Rollins College", "Saint Leo University", "University of South Florida-Main Campus", "St. Thomas University", "Stetson University", "Southeastern University", "The University of Tampa", "The University of West Florida", "Albany State University", "Brenau University", "Clayton  State University", "Columbus State University", "Emory University", "Georgia Institute of Technology-Main Campus", "Georgia Southwestern State University", "Georgia College & State University", "Georgia Southern University", "University of Georgia", "Piedmont College", "Valdosta State University", "University of West Georgia", "Chaminade University of Honolulu", "University of Hawaii at Manoa", "Hawaii Pacific University", "Boise State University", "Idaho State University", "University of Idaho", "Northwest Nazarene University", "Aurora University", "Bradley University", "Concordia University-Chicago", "DePaul University", "Eastern Illinois University", "Elmhurst College", "Governors State University", "University of Illinois at Chicago", "Benedictine University", "Illinois State University", "Judson University", "Lewis University", "Loyola University Chicago", "McKendree University", "National Louis University", "North Central College", "North Park University", "Northern Illinois University", "Northwestern University", "Northeastern Illinois University", "Olivet Nazarene University", "Robert Morris University Illinois", "Rockford University", "Roosevelt University", "Dominican University", "University of St Francis", "Saint Xavier University", "Southern Illinois University-Carbondale", "Southern Illinois University-Edwardsville", "Western Illinois University", "Anderson University", "Bethel University", "Butler University", "Grace College and Theological Seminary", "University of Indianapolis", "University of Southern Indiana", "Indiana State University", "Indiana University-East", "Indiana Wesleyan University-Marion", "University of Saint Francis-Fort Wayne", "Valparaiso University", "University of Dubuque", "Iowa State University", "University of Iowa", "Mount Mercy University", "Saint Ambrose University", "Upper Iowa University", "Baker University", "Emporia State University", "Fort Hays State University", "Friends University", "University of Kansas", "Newman University", "Kansas State University", "MidAmerica Nazarene University", "Pittsburg State University", "University of Saint Mary", "Southwestern College", "Washburn University", "Wichita State University", "Bellarmine University", "Campbellsville University", "University of the Cumberlands", "Midway University", "Western Kentucky University", "Louisiana State University and Agricultural & Mechanical College", "Louisiana Tech University", "McNeese State University", "University of New Orleans", "Nicholls State University", "University of Louisiana at Monroe", "Southeastern Louisiana University", "Southern University and A & M College", "University of Louisiana at Lafayette", "Tulane University of Louisiana", "University of Maine", "Saint Joseph's College of Maine", "University of Southern Maine", "Thomas College", "University of Baltimore", "Bowie State University", "Frostburg State University", "Hood College", "Johns Hopkins University", "Loyola University Maryland", "University of Maryland Global Campus", "University of Maryland-College Park", "Morgan State University", "Mount St. Mary's University", "Salisbury University", "American International College", "Anna Maria College", "Assumption College", "Bay Path University", "Bentley University", "Boston College", "Boston University", "Brandeis University", "Bridgewater State University", "Cambridge College", "Clark University", "Curry College", "Fitchburg State University", "University of Massachusetts-Lowell", "University of Massachusetts-Amherst", "University of Massachusetts-Boston", "Northeastern University", "Salem State University", "Simmons University", "Springfield College", "University of Massachusetts-Dartmouth", "Suffolk University", "Western New England University", "Worcester Polytechnic Institute", "Worcester State University", "Andrews University", "Central Michigan University", "Davenport University", "University of Detroit Mercy", "Eastern Michigan University", "Kettering University", "Cornerstone University", "Lawrence Technological University", "University of Michigan-Ann Arbor", "Michigan State University", "University of Michigan-Dearborn", "University of Michigan-Flint", "Oakland University", "Saginaw Valley State University", "Siena Heights University", "Spring Arbor University", "Wayne State University", "Western Michigan University", "Augsburg University", "Bethel University", "Concordia University-Saint Paul", "Hamline University", "Metropolitan State University", "University of Minnesota-Twin Cities", "University of Northwestern-St Paul", "Saint Cloud State University", "Saint Mary's University of Minnesota", "University of St Thomas", "St Catherine University", "Southwest Minnesota State University", "Winona State University", "Alcorn State University", "Belhaven University", "Delta State University", "Jackson State University", "University of Mississippi", "Mississippi Valley State University", "Mississippi College", "Mississippi State University", "University of Southern Mississippi", "William Carey University", "Avila University", "University of Central Missouri", "Drury University", "Evangel University", "Fontbonne University", "Lindenwood University", "Missouri Baptist University", "Northwest Missouri State University", "Park University", "Rockhurst University", "Saint Louis University", "Southeast Missouri State University", "Missouri State University-Springfield", "Washington University in St Louis", "Webster University", "William Woods University", "The University of Montana", "Bellevue University", "Chadron State College", "University of Nebraska at Omaha", "University of Nebraska-Lincoln", "College of Saint Mary", "Wayne State College", "University of Nevada-Las Vegas", "University of Nevada-Reno", "Franklin Pierce University", "New England College", "Southern New Hampshire University", "Plymouth State University", "Rivier University", "Caldwell University", "Centenary University", "Fairlei...
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not-for-profit, Public, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Public, Public, Public, Public, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Public, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Public, Public, Private not-for-profit, Public, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Public, Private not-for-profit, Public, Public, Private not-for-profit, Public, Public, Public, Public, Public, Private not-for-profit, Public, Public, Private not-for-profit, Public, Private not-for-profit, Public, Public, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Public, Public, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Public, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Public, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Public, Private not-for-profit, Public, Private not-for-profit, Public, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Public, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Public, Public, Public, Public, Public, Public, Public, Public, Public, Private not-for-profit, Public, Private not-for-profit, Public, Private not-for-profit, Public, Public, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Public, Public, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Public, Public, Public, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Public, Public, Public, Public, Public, Private not-for-profit, Private not-for-profit, Public, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Public, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Public, Public, Private not-for-profit, Public, Public, Public, Public, Private not-for-profit, Public, Public, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Public, Public, Public, Private not-for-profit, Public, Public, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Public, Public, Private not-for-profit, Public, Public, Public, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Public, Public, Public, Public, Public, Public, Public, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Public, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Public, Public, Public, Public, Public, Public, Public, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Public, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Public, Public, Public, Public, Public, Public, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Public, Public, Public, Public, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Public, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Public, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Public, Public, Public, Private not-for-profit, Public, Public, Public, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Public, Public, Private not-for-profit, Public, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Public, Public, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Public, Private not-for-profit, Public, Public, Public, Private not-for-profit, Public, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Public, Public, Public, Public, Public, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Public, Public, Private not-for-profit, Public, Public, Public, Public, Private not-for-profit, Public, Public, Private not-for-profit, Private not-for-profit, Public, Public, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Public, Public, Public, Public, Public, Public, Public, Public, Public, Private not-for-profit, Public, Public, Public, Public, Private not-for-profit, Public, Priva...
#> $ ccbasic                       <fct> Master's Colleges & Universities: Larger Programs, Doctoral Universities: Very High Research Activity, Master's Colleges & Universities: Small Programs, Doctoral Universities: High Research Activity, Doctoral Universities: Very High Research Activity, Doctoral Universities: Very High Research Activity, Master's Colleges & Universities: Medium Programs, Master's Colleges & Universities: Medium Programs, Master's Colleges & Universities: Larger Programs, Doctoral/Professional Universities, Master's Colleges & Universities: Larger Programs, Doctoral Universities: High Research Activity, Master's Colleges & Universities: Small Programs, Doctoral Universities: Very High Research Activity, Doctoral Universities: Very High Research Activity, Doctoral Universities: High Research Activity, Doctoral Universities: High Research Activity, Doctoral Universities: Very High Research Activity, Doctoral Universities: High Research Activity, Master's Colleges & Universities: Larger Programs, Doctoral/Professional Universities, Doctoral/Professional Universities, Master's Colleges & Universities: Medium Programs, Master's Colleges & Universities: Larger Programs, Doctoral Universities: High Research Activity, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Doctoral/Professional Universities, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Doctoral Universities: Very High Research Activity, Doctoral Universities: Very High Research Activity, Doctoral Universities: Very High Research Activity, Doctoral Universities: Very High Research Activity, Doctoral Universities: Very High Research Activity, Doctoral Universities: High Research Activity, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Medium Programs, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Medium Programs, Master's Colleges & Universities: Medium Programs, Doctoral/Professional Universities, Master's Colleges & Universities: Medium Programs, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Medium Programs, Master's Colleges & Universities: Medium Programs, Doctoral/Professional Universities, Doctoral/Professional Universities, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Doctoral Universities: High Research Activity, Doctoral Universities: High Research Activity, Master's Colleges & Universities: Larger Programs, Doctoral/Professional Universities, Master's Colleges & Universities: Larger Programs, Doctoral/Professional Universities, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Doctoral Universities: Very High Research Activity, Master's Colleges & Universities: Medium Programs, Master's Colleges & Universities: Larger Programs, Doctoral Universities: Very High Research Activity, Doctoral Universities: High Research Activity, Doctoral Universities: Very High Research Activity, Master's Colleges & Universities: Medium Programs, Doctoral Universities: Very High Research Activity, Doctoral Universities: High Research Activity, Doctoral/Professional Universities, Master's Colleges & Universities: Medium Programs, Doctoral/Professional Universities, Master's Colleges & Universities: Larger Programs, Doctoral Universities: Very High Research Activity, Master's Colleges & Universities: Larger Programs, Doctoral/Professional Universities, Master's Colleges & Universities: Larger Programs, Doctoral/Professional Universities, Doctoral/Professional Universities, Doctoral/Professional Universities, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Medium Programs, Doctoral Universities: Very High Research Activity, Doctoral/Professional Universities, Doctoral Universities: High Research Activity, Doctoral Universities: High Research Activity, Doctoral Universities: Very High Research Activity, Master's Colleges & Universities: Medium Programs, Doctoral/Professional Universities, Master's Colleges & Universities: Larger Programs, Doctoral Universities: Very High Research Activity, Master's Colleges & Universities: Medium Programs, Doctoral Universities: High Research Activity, Doctoral Universities: High Research Activity, Doctoral Universities: High Research Activity, Doctoral Universities: Very High Research Activity, Master's Colleges & Universities: Medium Programs, Doctoral Universities: Very High Research Activity, Master's Colleges & Universities: Larger Programs, Doctoral/Professional Universities, Doctoral Universities: Very High Research Activity, Doctoral/Professional Universities, Doctoral Universities: High Research Activity, Doctoral/Professional Universities, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Doctoral Universities: Very High Research Activity, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Medium Programs, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Medium Programs, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Medium Programs, Master's Colleges & Universities: Larger Programs, Doctoral Universities: Very High Research Activity, Doctoral Universities: Very High Research Activity, Master's Colleges & Universities: Medium Programs, Master's Colleges & Universities: Larger Programs, Doctoral Universities: High Research Activity, Doctoral Universities: Very High Research Activity, Master's Colleges & Universities: Larger Programs, Doctoral/Professional Universities, Doctoral/Professional Universities, Master's Colleges & Universities: Larger Programs, Doctoral Universities: Very High Research Activity, Master's Colleges & Universities: Larger Programs, Doctoral Universities: High Research Activity, Doctoral Universities: High Research Activity, Doctoral Universities: High Research Activity, Master's Colleges & Universities: Larger Programs, Doctoral/Professional Universities, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Doctoral Universities: High Research Activity, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Doctoral Universities: Very High Research Activity, Doctoral/Professional Universities, Doctoral Universities: High Research Activity, Master's Colleges & Universities: Small Programs, Master's Colleges & Universities: Larger Programs, Doctoral Universities: High Research Activity, Master's Colleges & Universities: Larger Programs, Doctoral/Professional Universities, Master's Colleges & Universities: Medium Programs, Master's Colleges & Universities: Larger Programs, Doctoral Universities: High Research Activity, Doctoral Universities: Very High Research Activity, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Medium Programs, Master's Colleges & Universities: Small Programs, Doctoral/Professional Universities, Master's Colleges & Universities: Larger Programs, Doctoral/Professional Universities, Master's Colleges & Universities: Larger Programs, Doctoral Universities: High Research Activity, Doctoral/Professional Universities, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Medium Programs, Master's Colleges & Universities: Small Programs, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Medium Programs, Doctoral/Professional Universities, Master's Colleges & Universities: Larger Programs, Doctoral/Professional Universities, Master's Colleges & Universities: Small Programs, Master's Colleges & Universities: Small Programs, Master's Colleges & Universities: Larger Programs, Doctoral/Professional Universities, Master's Colleges & Universities: Medium Programs, Doctoral Universities: Very High Research Activity, Doctoral Universities: Very High Research Activity, Master's Colleges & Universities: Medium Programs, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Doctoral/Professional Universities, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Doctoral Universities: Very High Research Activity, Master's Colleges & Universities: Larger Programs, Doctoral Universities: Very High Research Activity, Master's Colleges & Universities: Medium Programs, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Medium Programs, Master's Colleges & Universities: Medium Programs, Doctoral/Professional Universities, Doctoral Universities: High Research Activity, Doctoral/Professional Universities, Master's Colleges & Universities: Larger Programs, Doctoral/Professional Universities, Master's Colleges & Universities: Small Programs, Doctoral...
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#> $ region                        <fct> "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Southwest (AZ, NM, OK, TX)", "Southwest (AZ, NM, OK, TX)", "Southwest (AZ, NM, OK, TX)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, 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OH, WI)", "Great Lakes (IL, IN, MI, OH, WI)", "Great Lakes (IL, IN, MI, OH, WI)", "Great Lakes (IL, IN, MI, OH, WI)", "Great Lakes (IL, IN, MI, OH, WI)", "Great Lakes (IL, IN, MI, OH, WI)", "Great Lakes (IL, IN, MI, OH, WI)", "Great Lakes (IL, IN, MI, OH, WI)", "Plains (IA, KS, MN, MO, NE, ND, SD)", "Plains (IA, KS, MN, MO, NE, ND, SD)", "Plains (IA, KS, MN, MO, NE, ND, SD)", "Plains (IA, KS, MN, MO, NE, ND, SD)", "Plains (IA, KS, MN, MO, NE, ND, SD)", "Plains (IA, KS, MN, MO, NE, ND, SD)", "Plains (IA, KS, MN, MO, NE, ND, SD)", "Plains (IA, KS, MN, MO, NE, ND, SD)", "Plains (IA, KS, MN, MO, NE, ND, SD)", "Plains (IA, KS, MN, MO, NE, ND, SD)", "Plains (IA, KS, MN, MO, NE, ND, SD)", "Plains (IA, KS, MN, MO, NE, ND, SD)", "Plains (IA, KS, MN, MO, NE, ND, SD)", "Plains (IA, KS, MN, MO, NE, ND, SD)", "Plains (IA, KS, MN, MO, NE, ND, SD)", "Plains (IA, KS, MN, MO, NE, ND, SD)", "Plains (IA, KS, MN, MO, NE, ND, SD)", "Plains (IA, KS, MN, MO, NE, ND, SD)", "Plains (IA, KS, MN, MO, NE, ND, 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MA, NH...
#> $ city                          <chr> "Normal", "Birmingham", "Montgomery", "Huntsville", "Tuscaloosa", "Auburn", "Montgomery", "Montevallo", "Florence", "Birmingham", "Troy", "Fairbanks", "Anchorage", "Tempe", "Tucson", "Flagstaff", "Little Rock", "Fayetteville", "Jonesboro", "Russellville", "Conway", "Searcy", "Siloam Springs", "Magnolia", "Azusa", "Riverside", "Thousand Oaks", "San Luis Obispo", "Bakersfield", "Turlock", "San Bernardino", "Pomona", "Chico", "Carson", "Fresno", "Fullerton", "Hayward", "Long Beach", "Los Angeles", "Northridge", "Sacramento", "Davis", "Irvine", "Los Angeles", "Riverside", "La Jolla", "Orange", "Irvine", "San Rafael", "Fresno", "San Francisco", "Oakland", "Arcata", "La Verne", "Riverside", "Los Angeles", "La Jolla", "Belmont", "Fullerton", "Stockton", "Malibu", "San Diego", "Redlands", "San Diego", "San Diego", "San Francisco", "San Francisco", "San Jose", "Santa Clara", "Moraga", "Rohnert Park", "Los Angeles", "Burbank", "Alamosa", "Denver", "Colorado Springs", "Boulder", "Lakewood", "Fort Collins", "Denver", "Denver", "New Haven", "Bridgeport", "New Britain", "Storrs", "Fairfield", "West Hartford", "West Haven", "Hamden", "Fairfield", "West Hartford", "New Haven", "Danbury", "Newark", "New Castle", "Washington", "Washington", "Washington", "Washington", "Miami", "Boca Raton", "Orlando", "Daytona Beach", "Tallahassee", "Boca Raton", "Melbourne", "Miami", "Lakeland", "Gainesville", "Jacksonville", "Fort Lauderdale", "Coral Gables", "Jacksonville", "Fort Lauderdale", "West Palm Beach", "Winter Park", "Saint Leo", "Tampa", "Miami Gardens", "DeLand", "Lakeland", "Tampa", "Pensacola", "Albany", "Gainesville", "Morrow", "Columbus", "Atlanta", "Atlanta", "Americus", "Milledgeville", "Statesboro", "Athens", "Demorest", "Valdosta", "Carrollton", "Honolulu", "Honolulu", "Honolulu", "Boise", "Pocatello", "Moscow", "Nampa", "Aurora", "Peoria", "River Forest", "Chicago", "Charleston", "Elmhurst", "University Park", "Chicago", "Lisle", "Normal", "Elgin", "Romeoville", "Chicago", "Lebanon", "Chicago", "Naperville", "Chicago", "Dekalb", "Evanston", "Chicago", "Bourbonnais", "Chicago", "Rockford", "Chicago", "River Forest", "Joliet", "Chicago", "Carbondale", "Edwardsville", "Macomb", "Anderson", "Mishawaka", "Indianapolis", "Winona Lake", "Indianapolis", "Evansville", "Terre Haute", "Richmond", "Marion", "Fort Wayne", "Valparaiso", "Dubuque", "Ames", "Iowa City", "Cedar Rapids", "Davenport", "Fayette", "Baldwin City", "Emporia", "Hays", "Wichita", "Lawrence", "Wichita", "Manhattan", "Olathe", "Pittsburg", "Leavenworth", "Winfield", "Topeka", "Wichita", "Louisville", "Campbellsville", "Williamsburg", "Midway", "Bowling Green", "Baton Rouge", "Ruston", "Lake Charles", "New Orleans", "Thibodaux", "Monroe", "Hammond", "Baton Rouge", "Lafayette", "New Orleans", "Orono", "Standish", "Portland", "Waterville", "Baltimore", "Bowie", "Frostburg", "Frederick", "Baltimore", "Baltimore", "Adelphi", "College Park", "Baltimore", "Emmitsburg", "Salisbury", "Springfield", "Paxton", "Worcester", "Longmeadow", "Waltham", "Chestnut Hill", "Boston", "Waltham", "Bridgewater", "Boston", "Worcester", "Milton", "Fitchburg", "Lowell", "Amherst", "Boston", "Boston", "Salem", "Boston", "Springfield", "North Dartmouth", "Boston", "Springfield", "Worcester", "Worcester", "Berrien Springs", "Mount Pleasant", "Grand Rapids", "Detroit", "Ypsilanti", "Flint", "Grand Rapids", "Southfield", "Ann Arbor", "East Lansing", "Dearborn", "Flint", "Rochester Hills", "University Center", "Adrian", "Spring Arbor", "Detroit", "Kalamazoo", "Minneapolis", "Saint Paul", "Saint Paul", "Saint Paul", "Saint Paul", "Minneapolis", "Saint Paul", "Saint Cloud", "Winona", "Saint Paul", "Saint Paul", "Marshall", "Winona", "Alcorn State", "Jackson", "Cleveland", "Jackson", "University", "Itta Bena", "Clinton", "Mississippi State", "Hattiesburg", "Hattiesburg", "Kansas City", "Warrensburg", "Springfield", "Springfield", "Saint Louis", "Saint Charles", "Saint Louis", "Maryville", "Parkville", "Kansas City", "Saint Louis", "Cape Girardeau", "Springfield", "Saint Louis", "Saint Louis", "Fulton", "Missoula", "Bellevue", "Chadron", "Omaha", "Lincoln", "Omaha", "Wayne", "Las Vegas", "Reno", "Rindge", "Henniker", "Manchester", "Plymouth", "Nashua", "Caldwell", "Hackettstown", "Teaneck", "Lodi", "Lakewood", "Glassboro", "Jersey City", "Union", "West Long Branch", "Montclair", "Newark", "Mahwah", "Lawrenceville", "New Brunswick", "Jersey City", "Hoboken", "Galloway", "Trenton", "Wayne", "Portales", "Las Vegas", "Albuquerque", "Las Cruces", "Hobbs", "Silver City", "Garden City", "Alfred", "Buffalo", "Potsdam", "New York", "New York", "Ithaca", "New York", "Brooklyn", "Bronx", "Buffalo", "Orangeburg", "Bronx", "Hempstead", "New Rochelle", "Keuka Park", "Syracuse", "Brookville", "Riverdale", "Poughkeepsie", "Dobbs Ferry", "Rockville Centre", "Newburgh", "Bronx", "New York", "New York", "Old Westbury", "New York", "New York", "Rochester", "Rochester", "Troy", "Saint Bonaventure", "Albany", "Brooklyn", "Rochester", "Queens", "Albany", "Vestal", "Buffalo", "Stony Brook", "Buffalo", "New Paltz", "Oswego", "Saratoga Springs", "Throggs Neck", "Syracuse", "New York", "Utica", "Staten Island", "Boone", "Buies Creek", "Greenville", "Elon", "Fayetteville", "Boiling Springs", "Hickory", "Montreat", "Greensboro", "Chapel Hill", "Charlotte", "Greensboro", "Durham", "Raleigh", "Wilmington", "Pembroke", "Misenheimer", "Charlotte", "Winston-Salem", "Wingate", "Cullowhee", "Bismarck", "Minot", "Grand Forks", "Fargo", "Akron", "Ashland", "Berea", "Bowling Green", "Columbus", "Cleveland", "Cincinnati", "Cleveland", "Dayton", "Findlay", "University Heights", "Kent", "Painesville", "Sylvania", "Canton", "Oxford", "Mount Vernon", "Cincinnati", "Columbus", "Columbus", "Athens", "Tiffin", "Toledo", "Cincinnati", "Pepper Pike", "North Canton", "Dayton", "Cincinnati", "Youngstown", "Bartlesville", "Bethany", "Edmond", "Tahlequah", "Stillwater", "Oklahoma City", "Norman", "Durant", "Weatherford", "Tulsa", "La Grande", "Newberg", "Eugene", "Corvallis", "Eugene", "Forest Grove", "Portland", "Portland", "Ashland", "Center Valley", "Reading", "Bloomsburg", "Radnor", "California", "Pittsburgh", "Pittsburgh", "Clarion", "Doylestown", "Philadelphia", "Pittsburgh", "Saint Davids", "Erie", "Beaver Falls", "Gwynedd Valley", "Philadelphia", "Indiana", "Philadelphia", "Annville", "Bethlehem", "Lincoln University", "Scranton", "Aston", "University Park", "Philadelphia", "Pittsburgh", "Rosemont", "Loretto", "Scranton", "Greensburg", "Shippensburg", "Slippery Rock", "Philadelphia", "Villanova", "Waynesburg", "West Chester", "Chester", "Wilkes-Barre", "York", "Smithfield", "Providence", "Providence", "Kingston", "Newport", "Anderson", "Charleston", "Central", "Charleston", "Clemson", "Tigerville", "Columbia", "Conway", "Rock Hill", "Sioux Falls", "Vermillion", "Clarksville", "Nashville", "Jefferson City", "Memphis", "Lebanon", "Nashville", "Johnson City", "Bristol", "Cleveland", "Harrogate", "Memphis", "Murfreesboro", "Chattanooga", "Knoxville", "Martin", "Nashville", "Cookeville", "Greeneville", "Jackson", "Abilene", "San Angelo", "Waco", "Austin", "Corpus Christi", "Dallas", "Irving", "Texarkana", "Commerce", "Houston", "Houston", "Houston", "Victoria", "Houston", "San Antonio", "Beaumont", "Laredo", "Longview", "Belton", "Wichita Falls", "Denton", "San Antonio", "Prairie View", "Houston", "Austin", "Houston", "Huntsville", "San Antonio", "Dallas", "Waxahachie", "Nacogdoches", "San Marcos", "Stephenville", "Kingsville", "College Station", "Arlington", "Austin", "Richardson", "El Paso", "Tyler", "Fort Worth", "San Antonio", "Houston", "Lubbock", "Denton", "Plainview", "Canyon", "Provo", "Cedar City", "Logan", "Orem", "Salt Lake City", "Ogden", "Salt Lake City", "Burlington", "Northfield", "Burlington", "Williamsburg", "Virginia Beach", "Harrisonburg", "Fairfax", "Hampton", "Harrisonburg", "Lynchburg", "Lynchburg", "Fredericksburg", "Arlington", "Norfolk", "Winchester", "Blacksburg", "Richmond", "Charlottesville", "Seattle", "Cheney", "Spokane", "Kirkland", "Tacoma", "Lacey", "Seattle", "Pullman", "Seattle", "Bellingham", "Spokane", "Fairmont", "Morgantown", "Milwaukee", "Milwaukee", "Waukesha", "Mequon", "Madison", "Plymouth", "Fond Du Lac", "Milwaukee", "La Crosse", "Eau Claire", "Oshkosh", "Milwaukee", "Platteville", "River Falls", "Laramie", "San Juan", "Carolina", "Gurabo", "West Lafayette", "Oklahoma City", "Irvine", "San Marcos", "Naples", "Seaside", "Salt Lake City", "Fort Myers", "Camarillo", "Los Alamitos", "Augusta"
#> $ locale                        <fct> "City: Midsize (population of at least 100,000 but less than 250,000)", "City: Midsize (population of at least 100,000 but less than 250,000)", "City: Midsize (population of at least 100,000 but less than 250,000)", "City: Midsize (population of at least 100,000 but less than 250,000)", "City: Midsize (population of at least 100,000 but less than 250,000)", "City: Small (population less than 100,000)", "City: Midsize (population of at least 100,000 but less than 250,000)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "City: Small (population less than 100,000)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "Town: Remote (in urban cluster more than 35 miles from an urbanized area)", "Suburb: Small (outside principal city, in urbanized area with population less than 100,000)", "City: Large (population of 250,000 or more)", "City: Midsize (population of at least 100,000 but less than 250,000)", "City: Large (population of 250,000 or more)", "City: Small (population less than 100,000)", "City: Midsize (population of at least 100,000 but less than 250,000)", "City: Small (population less than 100,000)", "City: Small (population less than 100,000)", "Town: Remote (in urban cluster more than 35 miles from an urbanized area)", "City: Small (population less than 100,000)", "Town: Distant (in urban cluster more than 10 miles and up to 35 miles from an urbanized area)", "Town: Distant (in urban cluster more than 10 miles and up to 35 miles from an urbanized area)", "Town: Remote (in urban cluster more than 35 miles from an urbanized area)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "City: Large (population of 250,000 or more)", "City: Midsize (population of at least 100,000 but less than 250,000)", "Suburb: Small (outside principal city, in urbanized area with population less than 100,000)", "City: Large (population of 250,000 or more)", "Suburb: Small (outside principal city, in urbanized area with population less than 100,000)", "City: Midsize (population of at least 100,000 but less than 250,000)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "City: Small (population less than 100,000)", "City: Small (population less than 100,000)", "City: Large (population of 250,000 or more)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "City: Large (population of 250,000 or more)", "City: Large (population of 250,000 or more)", "City: Large (population of 250,000 or more)", "City: Large (population of 250,000 or more)", "Suburb: Small (outside principal city, in urbanized area with population less than 100,000)", "City: Large (population of 250,000 or more)", "City: Large (population of 250,000 or more)", "City: Large (population of 250,000 or more)", "City: Large (population of 250,000 or more)", "City: Midsize (population of at least 100,000 but less than 250,000)", "City: Large (population of 250,000 or more)", "City: Small (population less than 100,000)", "City: Large (population of 250,000 or more)", "City: Large (population of 250,000 or more)", "City: Large (population of 250,000 or more)", "Town: Remote (in urban cluster more than 35 miles from an urbanized area)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "City: Large (population of 250,000 or more)", "City: Large (population of 250,000 or more)", "City: Large (population of 250,000 or more)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "City: Large (population of 250,000 or more)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "City: Large (population of 250,000 or more)", "City: Small (population less than 100,000)", "City: Large (population of 250,000 or more)", "City: Large (population of 250,000 or more)", "City: Large (population of 250,000 or more)", "City: Large (population of 250,000 or more)", "City: Large (population of 250,000 or more)", "City: Midsize (population of at least 100,000 but less than 250,000)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "City: Large (population of 250,000 or more)", "City: Large (population of 250,000 or more)", "Town: Remote (in urban cluster more than 35 miles from an urbanized area)", "City: Large (population of 250,000 or more)", "City: Large (population of 250,000 or more)", "City: Midsize (population of at least 100,000 but less than 250,000)", "City: Midsize (population of at least 100,000 but less than 250,000)", "City: Midsize (population of at least 100,000 but less than 250,000)", "City: Large (population of 250,000 or more)", "City: Large (population of 250,000 or more)", "City: Midsize (population of at least 100,000 but less than 250,000)", "City: Midsize (population of at least 100,000 but less than 250,000)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "City: Midsize (population of at least 100,000 but less than 250,000)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "City: Midsize (population of at least 100,000 but less than 250,000)", "City: Small (population less than 100,000)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "City: Large (population of 250,000 or more)", "City: Large (population of 250,000 or more)", "City: Large (population of 250,000 or more)", "City: Large (population of 250,000 or more)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "City: Small (population less than 100,000)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "City: Small (population less than 100,000)", "City: Midsize (population of at least 100,000 but less than 250,000)", "City: Small (population less than 100,000)", "City: Small (population less than 100,000)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "City: Midsize (population of at least 100,000 but less than 250,000)", "City: Midsize (population of at least 100,000 but less than 250,000)", "City: Large (population of 250,000 or more)", "City: Midsize (population of at least 100,000 but less than 250,000)", "City: Small (population less than 100,000)", "City: Large (population of 250,000 or more)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "City: Midsize (population of at least 100,000 but less than 250,000)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "Suburb: Small (outside principal city, in urbanized area with population less than 100,000)", "City: Large (population of 250,000 or more)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "City: Small (population less than 100,000)", "City: Midsize (population of at least 100,000 but less than 250,000)", "City: Large (population of 250,000 or more)", "City: Small (population less than 100,000)", "City: Small (population less than 100,000)", "City: Small (population less than 100,000)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "City: Midsize (population of at least 100,000 but less than 250,000)", "City: Large (population of 250,000 or more)", "City: Large (population of 250,000 or more)", "Town: Distant (in urban cluster more than 10 miles and up to 35 miles from an urbanized area)", "Town: Distant (in urban cluster more than 10 miles and up to 35 miles from an urbanized area)", "Town: Distant (in urban cluster more than 10 miles and up to 35 miles from an urbanized area)", "City: Midsize (population of at least 100,000 but less than 250,000)", "Town: Distant (in urban cluster more than 10 miles and up to 35 miles from an urbanized area)", "City: Small (population less than 100,000)", "Town: Fringe (in urban cluster up to 10 miles from an urbanized area)", "City: Large (population of 250,000 or more)", "City: Large (population of 250,000 or more)", "City: Large (population of 250,000 or more)", "City: Midsize (population of at least 100,000 but less than 250,000)", "City: Small (population less than 100,000)", "Town: Distant (in urban cluster more than 10 miles and up to 35 miles from an urbanized area)", "Suburb: Midsize (outside principal city, in urbanized area with population of at least 100,000 but less than 250,000)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "City: Midsize (population of at least 100,000 but less than 250,000)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "City: Large (population of 250,000 or more)", "Town: Distant (in urban cluster mo...
#> $ urban                         <fct> med/small city, med/small city, med/small city, med/small city, med/small city, med/small city, med/small city, suburb, med/small city, suburb, town/rural, suburb, large city (250k+), med/small city, large city (250k+), med/small city, med/small city, med/small city, med/small city, town/rural, med/small city, town/rural, town/rural, town/rural, suburb, large city (250k+), med/small city, suburb, large city (250k+), suburb, med/small city, suburb, med/small city, med/small city, large city (250k+), suburb, suburb, large city (250k+), large city (250k+), large city (250k+), large city (250k+), suburb, large city (250k+), large city (250k+), large city (250k+), large city (250k+), med/small city, large city (250k+), med/small city, large city (250k+), large city (250k+), large city (250k+), town/rural, suburb, large city (250k+), large city (250k+), large city (250k+), suburb, suburb, large city (250k+), suburb, large city (250k+), med/small city, large city (250k+), large city (250k+), large city (250k+), large city (250k+), large city (250k+), med/small city, suburb, suburb, large city (250k+), large city (250k+), town/rural, large city (250k+), large city (250k+), med/small city, med/small city, med/small city, large city (250k+), large city (250k+), med/small city, med/small city, suburb, suburb, suburb, med/small city, suburb, suburb, suburb, suburb, med/small city, med/small city, suburb, suburb, large city (250k+), large city (250k+), large city (250k+), large city (250k+), suburb, med/small city, suburb, med/small city, med/small city, med/small city, med/small city, suburb, med/small city, med/small city, large city (250k+), med/small city, med/small city, large city (250k+), suburb, med/small city, suburb, suburb, large city (250k+), suburb, med/small city, med/small city, large city (250k+), med/small city, med/small city, med/small city, suburb, med/small city, large city (250k+), large city (250k+), town/rural, town/rural, town/rural, med/small city, town/rural, med/small city, town/rural, large city (250k+), large city (250k+), large city (250k+), med/small city, med/small city, town/rural, suburb, suburb, med/small city, suburb, large city (250k+), town/rural, suburb, town/rural, large city (250k+), suburb, suburb, med/small city, suburb, large city (250k+), suburb, large city (250k+), med/small city, large city (250k+), suburb, med/small city, large city (250k+), suburb, large city (250k+), med/small city, large city (250k+), suburb, suburb, large city (250k+), med/small city, suburb, town/rural, med/small city, med/small city, large city (250k+), town/rural, large city (250k+), suburb, med/small city, town/rural, town/rural, large city (250k+), suburb, med/small city, med/small city, med/small city, med/small city, med/small city, town/rural, town/rural, town/rural, town/rural, large city (250k+), med/small city, large city (250k+), med/small city, suburb, town/rural, town/rural, town/rural, med/small city, large city (250k+), large city (250k+), town/rural, town/rural, town/rural, med/small city, med/small city, town/rural, med/small city, large city (250k+), med/small city, med/small city, med/small city, med/small city, med/small city, large city (250k+), suburb, town/rural, med/small city, town/rural, large city (250k+), suburb, suburb, med/small city, large city (250k+), large city (250k+), suburb, suburb, large city (250k+), town/rural, suburb, med/small city, town/rural, med/small city, suburb, med/small city, med/small city, large city (250k+), med/small city, suburb, large city (250k+), med/small city, suburb, suburb, suburb, suburb, large city (250k+), large city (250k+), suburb, large city (250k+), med/small city, suburb, large city (250k+), med/small city, med/small city, med/small city, town/rural, town/rural, suburb, large city (250k+), suburb, med/small city, med/small city, med/small city, med/small city, med/small city, med/small city, med/small city, suburb, suburb, town/rural, suburb, large city (250k+), med/small city, large city (250k+), suburb, large city (250k+), large city (250k+), large city (250k+), large city (250k+), suburb, med/small city, town/rural, large city (250k+), large city (250k+), town/rural, town/rural, town/rural, med/small city, town/rural, med/small city, town/rural, town/rural, suburb, town/rural, med/small city, med/small city, large city (250k+), town/rural, med/small city, med/small city, suburb, med/small city, suburb, town/rural, suburb, large city (250k+), large city (250k+), med/small city, med/small city, suburb, suburb, town/rural, med/small city, suburb, town/rural, large city (250k+), large city (250k+), large city (250k+), town/rural, med/small city, large city (250k+), town/rural, town/rural, suburb, town/rural, med/small city, suburb, suburb, suburb, suburb, med/small city, suburb, large city (250k+), suburb, suburb, suburb, large city (250k+), suburb, suburb, med/small city, large city (250k+), suburb, suburb, med/small city, suburb, town/rural, town/rural, large city (250k+), suburb, town/rural, town/rural, suburb, town/rural, large city (250k+), town/rural, large city (250k+), large city (250k+), med/small city, large city (250k+), large city (250k+), large city (250k+), large city (250k+), suburb, large city (250k+), suburb, suburb, town/rural, suburb, suburb, large city (250k+), suburb, suburb, suburb, med/small city, large city (250k+), large city (250k+), large city (250k+), suburb, large city (250k+), large city (250k+), suburb, suburb, med/small city, town/rural, med/small city, large city (250k+), suburb, large city (250k+), med/small city, suburb, suburb, suburb, large city (250k+), suburb, town/rural, suburb, large city (250k+), med/small city, large city (250k+), med/small city, large city (250k+), town/rural, town/rural, med/small city, suburb, med/small city, town/rural, med/small city, suburb, large city (250k+), med/small city, large city (250k+), large city (250k+), large city (250k+), large city (250k+), med/small city, town/rural, town/rural, large city (250k+), med/small city, suburb, town/rural, town/rural, town/rural, med/small city, med/small city, med/small city, town/rural, suburb, town/rural, suburb, large city (250k+), large city (250k+), large city (250k+), med/small city, town/rural, suburb, suburb, suburb, suburb, med/small city, town/rural, town/rural, suburb, large city (250k+), large city (250k+), town/rural, town/rural, large city (250k+), large city (250k+), suburb, suburb, suburb, large city (250k+), med/small city, town/rural, suburb, suburb, town/rural, town/rural, large city (250k+), suburb, town/rural, town/rural, large city (250k+), town/rural, town/rural, med/small city, med/small city, med/small city, suburb, large city (250k+), large city (250k+), suburb, town/rural, med/small city, med/small city, suburb, suburb, large city (250k+), large city (250k+), town/rural, suburb, large city (250k+), large city (250k+), suburb, med/small city, suburb, suburb, large city (250k+), town/rural, large city (250k+), suburb, med/small city, suburb, med/small city, suburb, med/small city, large city (250k+), large city (250k+), suburb, town/rural, med/small city, suburb, town/rural, town/rural, large city (250k+), suburb, town/rural, suburb, suburb, med/small city, suburb, suburb, med/small city, med/small city, suburb, suburb, med/small city, med/small city, suburb, med/small city, suburb, town/rural, med/small city, med/small city, med/small city, med/small city, town/rural, med/small city, large city (250k+), suburb, large city (250k+), town/rural, large city (250k+), med/small city, med/small city, med/small city, town/rural, large city (250k+), med/small city, med/small city, med/small city, town/rural, large city (250k+), town/rural, town/rural, med/small city, med/small city, med/small city, med/small city, large city (250k+), large city (250k+), large city (250k+), med/small city, town/rural, town/rural, large city (250k+), suburb, large city (250k+), med/small city, large city (250k+), large city (250k+), med/small city, large city (250k+), med/small city, suburb, med/small city, med/small city, large city (250k+), town/rural, large city (250k+), large city (250k+), large city (250k+), town/rural, large city (250k+), suburb, suburb, town/rural, med/small city, town/rural, town/rural, med/small city, large city (250k+), large city (250k+), med/small city, large city (250k+), med/small city, large city (250k+), large city (250k+), large city (250k+), large city (250k+), med/small city, town/rural, town/rural, med/small city, town/rural, med/small city, med/small city, med/small city, med/small city, med/small city, med/small city, town/rural, med/small city, suburb, large city (250k+), med/small city, suburb, med/small city, med/small city, med/small city, med/small city, suburb, med/small city, med/small city, med/small city, med/small city, med/small city, suburb, large city (250k+), town/rural, med/small city, suburb, suburb, med/small city, large city (250k+), town/rural, large city (250k+), med/small city, suburb, town/rural, med/small city, large city (250k+), suburb, med/small city, suburb, large city (250k+), town/rural, med/small city, large city (250k+), med/small city, med/small city, med/small city, large city (250k+), town/rural, town/rural, town/rural, large city (250k+), suburb, suburb, med/small city, large city (250k+), large city (250k+), suburb, suburb, suburb, suburb, suburb, suburb, suburb, med/small city
#> $ cipdig2                       <chr> "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52"
#> $ cipcode                       <chr> "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", 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#> $ cipdesc                       <chr> "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administrat...
#> $ credlev                       <fct> Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Deg...
#> $ creddesc                      <chr> "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "...
#> $ ipedscount1                   <dbl> 30, 115, 23, 95, 152, 210, 31, 23, 116, 44, 134, 42, 13, 444, 212, 118, 62, 123, 58, 15, 45, 66, 127, 22, 22, 168, 83, 24, 47, 55, 139, 17, 30, 55, 78, 168, 158, 103, 36, 43, 164, 155, 251, 862, 73, 126, 101, 73, 36, 12, 106, 11, 22, 370, 36, 37, 336, 37, 9, 44, 589, 79, 520, 211, 127, 73, 103, 114, 151, 162, 64, 640, 66, 29, 273, 91, 139, 67, 312, 44, 345, 96, 109, 29, 253, 21, 120, 148, 266, 65, 7, 67, NA, 159, 79, 56, 20, 372, 28, 85, 245, 81, 43, 49, 243, 374, 597, 34, 724, 25, 130, 232, 113, 706, 65, 134, 764, 127, 119, 65, 48, 164, 86, 24, 105, 77, 25, 399, 308, 15, 21, 103, 245, 37, 32, 100, 33, 142, 80, 120, 56, 14, 33, 87, 24, 91, 158, 48, 63, 17, 213, 434, 43, 65, 213, 215, 90, 77, 35, 110, 215, 468, 20, 79, 170, 49, 143, 69, 48, 43, 56, 65, 42, 102, 24, 63, 32, 74, 36, 48, 9, NA, 101, 40, 143, 64, 271, 44, 104, 105, 192, 45, 53, 97, 119, 45, 39, 43, 30, 87, 45, 44, 80, 51, 8, 66, 32, 128, 131, 51, 28, 76, 42, 24, 60, 44, 78, 68, 25, 19, 26, 49, 146, 0, 75, 42, 117, 122, 1934, 493, 76, 73, 40, 32, 31, 90, 86, 72, 239, 568, 140, 14, 94, 102, 32, 40, 219, 382, 124, NA, 36, 60, 22, 162, 111, 50, 74, 17, 23, 430, 338, 52, 40, 70, 44, 51, 787, 264, 65, 59, 117, 34, 27, 90, 166, 96, 72, 33, 93, 113, 72, 523, 45, 47, 160, 348, 50, 83, 27, 23, 194, 82, 19, 83, 22, 23, 93, 61, 45, 47, 29, 28, 18, 53, 42, 74, 53, 172, 158, 120, 56, 319, 407, 2045, 92, 52, 345, 73, 103, 87, 18, 23, 82, 122, 27, 24, 1408, 80, 23, 19, 62, 263, 20, 33, 56, 28, 30, 61, 108, 83, 34, 56, NA, 13, 134, 48, 74, 73, 95, 75, 175, 79, 18, 14, 144, 27, 103, 81, 158, 1205, 666, 130, 129, 37, 15, 11, 299, 74, 41, 24, 51, 57, NA, 58, 194, 53, 27, 9, 38, 1062, 208, 33, 28, 29, 120, 46, 60, 46, 36, 69, 126, 102, 101, 217, 71, 23, 29, 113, 71, 82, 162, 22, 17, 25, 62, 70, 191, 30, 40, 56, 45, 25, 16, 742, 128, 55, 32, 225, 53, 24, 83, 132, 291, 49, 56, 118, 32, 43, 31, 103, 183, 70, 21, 75, 159, 179, 218, 88, 195, 55, 61, 79, 18, 62, 53, 85, 24, 93, 344, 284, 49, 96, 43, 11, 66, 155, 138, 50, 78, 130, 45, 53, 140, 41, 118, 30, 47, 36, 43, 61, 33, 99, 159, 14, 94, 44, 34, 123, 58, 21, 10, 74, 54, 20, 33, 26, 19, 184, 75, 47, 49, NA, 38, 176, 57, 32, 35, 12, 21, 50, 88, 545, 103, 35, 49, 110, 42, 105, 27, 228, 373, 79, 78, 48, 77, 17, 8, 255, 87, 94, 63, 42, 71, 39, 46, 158, 48, 176, 52, 59, 51, 97, 32, 18, 36, 47, 52, 117, 73, 172, 28, 42, 133, 102, 103, 233, 38, 46, 77, 38, 66, NA, 26, 198, 58, 258, 206, 168, 62, 437, 51, 82, 283, 155, 287, 387, 63, 45, 33, 28, 20, 127, 102, 63, 331, 121, 99, 91, 28, 150, 10, 15, 107, 111, 43, 295, 303, 658, 337, 94, 350, 143, 100, 80, 276, 365, 216, 233, 228, 29, 126, 0, 298, 57, 114, 203, 179, 16, 182, 61, 21, 139, 29, 39, 1498, 36, 28, 43, 40, 35, 96, 102, 424, 208, 30, 152, 28, 40, 48, 237, 288, 407, 21, 33, 19, 34, 15, 172, 15, 135, 32, 115, 34, 105, 59, 55, 79, 243, 115, 45, 42, 120, 44, 159, 336, 89, 432, 46, 36, 75, 2336, 40, 40, NA, 38
#> $ ipedscount2                   <dbl> 27, 133, 23, 89, 185, 247, 74, 19, 182, 48, 126, 34, 28, 299, 214, 121, 66, 128, 42, 8, 65, 56, 99, 38, 38, 235, 91, 38, 33, 69, 134, 24, 34, 58, 69, 99, 168, 131, 43, 49, 114, 172, 231, 808, 94, 120, 117, 59, 25, 11, 80, 13, 29, 393, 20, 29, 282, 54, 17, 32, 608, 85, 426, 169, 132, 81, 132, 118, 131, 151, 62, 670, 74, 29, 290, 88, 152, 92, 307, 55, 297, 88, 108, 27, 277, 38, 101, 130, 267, 82, 17, 59, NA, 140, 631, 117, 16, 381, 20, 130, 240, 67, 41, 58, 274, 386, 620, 33, 715, 37, 138, 239, 110, 686, 39, 182, 771, 148, 126, 46, 76, 139, 126, 27, 68, 83, 26, 421, 347, 29, 37, 118, 255, 23, 40, 101, 64, 127, 58, 145, 60, 9, 35, 106, 36, 169, 192, 55, 70, 29, 195, 345, 54, 37, 211, 207, 78, 23, 25, 79, 243, 481, 27, 67, 177, 38, 123, 52, 56, 28, 71, 67, 38, 109, 45, 46, 48, 83, 144, 70, 6, NA, 78, 27, 139, 67, 321, 51, 70, 123, 142, 37, 50, 89, 179, 41, 43, 69, 37, 113, 34, 23, 48, 48, 16, 106, 45, 180, 147, 47, 26, 53, 27, 36, 60, 48, 46, 64, 28, 15, 39, 57, 132, 0, 70, 32, 137, 141, 2309, 499, 46, 67, 36, 28, 20, 70, 93, 131, 248, 598, 87, 17, 66, 96, 29, 61, 257, 418, 132, NA, 23, 31, 17, 135, 119, 54, 54, 34, 18, 394, 296, 52, 45, 54, 46, 51, 763, 304, 56, 68, 99, 36, 24, 87, 261, 98, 145, 49, 160, 123, 65, 492, 45, 32, 229, 263, 52, 94, 25, 27, 281, 77, 33, 88, 22, 25, 96, 54, 21, 55, 32, 29, 14, 61, 80, 56, 46, 187, 185, 98, 43, 287, 367, 1790, 73, 68, 294, 74, 95, 120, 16, 20, 80, 129, 27, 50, 2074, 41, 30, 0, 81, 228, 13, 27, 71, 51, 24, 99, 140, 66, 30, 80, NA, 17, 123, 57, 86, 95, 74, 84, 193, 54, 23, 22, 158, 29, 100, 79, 133, 1216, 684, 163, 151, 34, 6, 12, 258, 72, 45, 35, 59, 135, NA, 48, 222, 47, 34, 17, 48, 1078, 274, 26, 40, 41, 134, 42, 55, 55, 29, 88, 138, 137, 118, 189, 48, 25, 27, 75, 117, 75, 344, 25, 44, 18, 55, 58, 209, 39, 60, 50, 54, 28, 25, 793, 98, 50, 23, 261, 74, 27, 61, 77, 270, 31, 63, 135, 42, 27, 24, 64, 225, 94, 21, 62, 156, 197, 225, 72, 158, 63, 71, 57, 21, 60, 50, 70, 42, 67, 308, 361, 56, 86, 42, 9, 39, 163, 139, 61, 44, 117, 27, 22, 144, 113, 134, 55, 34, 37, 43, 85, 34, 82, 214, 11, 108, 57, 30, 128, 58, 26, 20, 75, 58, 23, 39, 42, 26, 153, 66, 40, 24, 35, 54, 188, 45, 37, 54, 18, 14, 34, 116, 549, 126, 41, 29, 124, 31, 104, 14, 358, 265, 57, 132, 57, 49, 8, 24, 266, 97, 90, 74, 58, 79, 26, 42, 188, 39, 182, 46, 77, 92, 69, 30, 17, 56, 32, 48, 137, 55, 103, 32, 58, 119, 78, 121, 224, 35, 38, 88, 37, 44, 24, 62, 202, 92, 240, 82, 154, 52, 375, 32, 82, 434, 175, 255, 405, 68, 67, 27, 28, 18, 143, 76, 69, 315, 95, 107, 79, 34, 185, 24, 16, 87, 109, 45, 302, 390, 645, 373, 99, 393, 129, 119, 58, 239, 356, 207, 279, 223, 38, 138, 18, 305, 88, 102, 259, 171, 23, 302, 103, 16, 137, 29, 38, 1468, 29, 44, 52, 47, 47, 135, 98, 463, 134, 48, 159, 33, 28, 32, 212, 289, 401, 55, 28, 13, 42, 23, 140, 37, 229, 28, 119, 33, 126, 50, 73, 86, 217, 119, 31, 62, 114, 49, 170, 307, 68, 374, 60, 19, 79, 3209, 34, 39, NA, 31
#> $ debt_all_stgp_eval_n          <dbl> 43, 70, 17, 39, 103, 139, 61, 14, 105, 10, 77, 22, 14, 409, 172, 123, 43, 97, 25, 11, 28, 39, 121, 16, NA, 110, 11, 16, 24, 65, 110, 10, 19, 38, 83, 71, 87, 99, 33, 40, 119, 123, 222, 509, 27, 59, 67, 48, 25, 15, 38, 14, 26, 116, 32, 57, 241, 41, 12, 11, 330, 77, 402, 73, 69, 46, 78, 34, 73, 120, 32, 464, 62, 25, 232, 73, 102, 64, 137, 26, 226, 57, 60, 17, 96, 13, 40, 17, 200, 30, 11, 74, NA, 69, 29, 121, 16, 226, 44, 60, 203, 64, 270, 56, 285, 146, 728, 38, 619, 18, 204, 170, 81, 874, 15, 130, 903, 186, 94, 27, 35, 80, 50, 41, 118, 85, 22, 160, 288, 26, 22, 86, 146, 26, 24, 97, 26, 49, 20, 106, 37, 15, 36, 105, 16, 112, 308, 24, 46, 20, 78, 435, 20, 22, 46, 128, 65, 48, 18, 57, 146, 121, 12, 70, 225, 15, 119, 63, 44, 33, 31, 33, 25, 116, 39, 14, 34, 53, 54, 43, 11, 475, 94, 30, 101, 50, 50, 32, 55, 86, 123, 21, 27, 111, 74, 15, 23, 56, 17, 73, 31, 16, 32, 12, 15, 48, 48, 70, 35, 25, 12, 68, 14, 12, 50, 64, 24, 31, 17, 12, 29, 39, 101, NA, 45, 16, 56, 67, 1463, 302, 40, 38, 22, 36, 17, 55, 43, 49, 124, 285, 56, 12, 32, 29, 31, 30, 79, 131, 65, 113, 10, 45, 40, 41, 82, 20, 21, 10, 14, 227, 369, 33, 42, 26, 19, 23, 527, 222, 27, 38, 44, 12, 32, 23, 130, 45, 101, 35, 203, 104, 61, 363, 26, 23, 180, 203, 42, 14, 12, 27, 285, 21, 30, 17, 14, 24, 48, 23, 15, 42, 18, 18, 18, 52, 36, 71, 31, 150, 103, 56, 26, 30, 231, 1030, 75, 44, 284, 47, 44, 40, 20, 11, 65, 64, 25, 11, 1836, 36, 11, 15, 47, 184, 11, 33, 46, 31, 18, 62, 122, 55, 15, 33, 354, 14, 23, 38, 34, 33, 55, 65, 113, 45, 27, 17, 62, 32, 77, 57, 59, 679, 432, 110, 79, 35, 10, 13, 201, 47, 18, 32, 41, 104, NA, 31, 283, 46, 36, 10, 39, 698, 23, 25, 22, 35, 76, 42, 52, 53, 58, 79, 73, 74, 81, 133, 30, 20, 13, 80, 30, 64, 227, 16, 28, 11, 53, 47, 93, 36, 13, 53, 39, 24, 34, 615, 73, 34, 31, 157, 44, 29, 83, 102, 284, 21, 48, 49, 28, 13, 11, 39, 83, 65, 25, 43, 97, 79, 187, 32, 80, 32, 41, 46, 17, 67, 34, 34, 36, 41, 172, 338, 19, 28, 52, 11, 65, 114, 93, 47, 73, 188, 21, 19, 38, 26, 62, 26, 21, 15, 42, 83, 26, 40, 93, 16, 85, 32, 18, 39, 70, 26, 15, 96, 60, 12, 30, 18, 12, 114, 66, 20, 43, NA, 33, 51, 29, 13, 10, 25, 13, 44, 264, 192, 98, 37, 21, 80, 39, 81, 21, 268, 217, 43, 20, 28, 41, 10, 13, 338, 32, 38, 41, 55, 84, 33, 44, 131, 24, 136, 50, 55, 43, 55, 18, 15, 25, 27, 43, 121, 43, 166, 28, 13, 69, 77, 102, 102, 33, 38, 46, 40, 29, 13, 31, 175, 85, 113, 126, 146, 50, 328, 41, 53, 430, 133, 189, 297, 34, 36, 39, 25, 13, 79, 109, 89, 159, 120, 46, 63, 15, 99, 16, 11, 68, 96, 34, 206, 112, 515, 260, 89, 363, 88, 114, 73, 224, 317, 49, 39, 174, 23, 126, 12, 331, 29, 97, 99, 131, 23, 273, 85, 11, 126, 17, 15, 1422, 12, 14, 42, 29, 29, 107, 80, 130, 95, 37, 145, 23, 35, 26, 93, 173, 319, 32, 24, 15, 36, 22, 133, 14, 79, 20, 104, 28, 66, 52, 47, 26, 205, 73, 20, 31, 190, 77, 194, 139, 63, 120, 46, 28, 97, 2793, 15, 37, NA, 17
#> $ debt_all_stgp_eval_mean       <dbl> 52786, 34809, 57391, 23490, 33702, 45043, 25746, 23741, 34435, 36208, 35222, 18609, 32751, 53331, 46475, 37774, 39396, 36890, 33280, 27041, 18850, 50917, 33947, 24395, 45105, 25055, 44637, 28459, 24194, 29764, 44983, 32450, 27309, 25364, 35740, 32847, 32289, 40489, 33635, 35518, 31341, 78722, 75797, 94907, 69106, 92329, 77683, 33909, 42056, 28494, 43593, 49884, 18474, 55271, 48004, 43432, 39166, 45746, 38245, 45086, 85488, 40573, 41659, 53791, 53606, 49740, 64014, 33097, 63320, 66197, 33413, 90863, 55190, 41696, 54107, 45864, 52606, 32775, 43079, 47627, 45702, 38925, 43672, 31072, 50394, 30353, 28170, 23286, 32094, 26086, 26219, 33155, 24887, 32145, 32454, 82305, 34523, 73706, 44196, 46170, 31836, 40832, 38774, 33781, 41299, 37229, 61948, 35219, 42288, 35796, 53568, 78441, 32532, 58397, 30191, 48737, 49500, 34506, 42128, 41970, 28529, 37387, 30974, 41615, 45059, 36864, 30022, 67654, 72904, 24888, 27313, 29145, 60313, 23945, 35938, 24516, 36818, 48243, 40165, 37046, 29206, 46580, 33792, 32889, 30407, 32987, 49858, 19189, 31184, 47748, 51612, 37560, 25983, 35058, 40212, 70801, 29099, 43536, 44064, 29802, 35565, 115085, 16352, 29532, 29769, 33538, 45919, 58676, 32370, 54106, 37186, 26607, 27378, 36660, 27910, 37614, 21798, 29759, 21150, 25933, 22667, 43581, 26771, 71324, 18044, 31717, 36016, 40108, 47005, 39826, 40447, 18969, 26622, 37559, 28375, 19449, 37964, 33223, 16158, 33456, 30106, 30300, 22733, 39674, 25646, 16495, 28062, 33261, 42167, 19390, 19161, 31462, 21920, 28040, 23919, 52835, 31409, 86004, 22514, 26949, 28120, 24223, 50206, 43302, 29451, 29447, 42303, 52451, 48683, 71997, 36372, 23299, 22413, 25905, 21519, 25897, 35295, 32001, 54629, 54938, 65071, 25152, 29275, 31584, 39962, 16356, 29783, 35909, 31521, 38243, 27982, 63481, 27333, 32099, 55207, 30851, 42877, 11534, 49477, 34620, 45588, 58395, 44508, 29613, 30226, 53963, 75835, 49492, 34958, 40484, 34826, 40699, 28953, 30867, 37314, 40331, 39848, 40789, 32907, 44973, 41362, 61641, 29747, 29565, 33201, 46539, 44147, 24935, 26959, 55318, 46665, 22669, 25431, 21836, 40450, 36810, 28308, 24687, 28327, 30220, 24508, 20174, 26806, 41010, 30288, 33408, 18760, 36312, 30871, 42197, 18464, 23271, 83004, 48541, 17022, 37627, 46041, 25245, 27993, 35220, 17646, 17483, 41433, 24577, 24658, 33552, 41764, 43370, 21463, 30603, 35516, 32413, 33066, 26841, 29738, 34036, 38519, 26480, 38773, 52577, 39986, 37756, 58003, 37905, 37490, 27611, 27858, 32282, 30592, 27982, 32262, 25228, 33775, 35911, 37825, 31189, 35251, 38878, 45583, 96404, 103940, 41180, 21140, 25494, 35206, 36967, 61366, 68684, 36160, 29684, 24488, 62378, 31142, 32158, 39417, 30826, 30448, 64540, 65931, 108756, 50291, 28032, 57033, 39780, 46166, 35910, 20740, 31115, 33376, 38691, 39279, 31091, 24906, 39714, 50457, 30777, 22549, 26815, 49652, 38874, 72043, 36839, 26327, 43400, 24066, 29088, 30560, 53096, 31770, 34639, 34416, 40033, 37718, 82256, 35172, 29126, 72096, 39131, 34506, 32838, 31445, 47404, 58952, 29195, 28638, 26845, 17049, 17792, 19643, 47648, 30553, 35432, 40630, 37093, 67417, 36609, 36710, 19834, 30131, 27525, 45112, 30257, 37933, 25934, 30825, 29624, 27384, 34061, 54667, 38101, 27889, 45084, 29725, 30993, 34975, 40584, 35144, 27664, 31741, 32434, 36115, 25023, 23724, 41289, 43076, 21864, 27464, 17326, 28483, 38628, 30467, 46301, 70112, 48357, 43448, 41931, 30620, 38096, 31265, 23027, 24826, 29559, 36562, 43186, 32164, 29922, 39198, 44934, 37548, 33003, 30400, 30482, 33840, 27606, 40893, 20648, 39964, 32382, 41948, 31087, 41759, 75053, 36322, 33409, 35952, 40743, 38313, 24394, 22725, 59699, 42594, 21986, 23543, 43508, 35725, 30131, 28761, 26780, 23146, 32884, 18177, 32904, 37679, 28439, 39577, 38175, 23277, 42920, 23958, 32480, 23774, 25994, 29779, 40278, 24717, 31936, 24026, 42679, 27956, 36097, 25231, 46243, 37355, 29851, 31972, 42392, 31782, 32137, 18227, 19862, 40209, 38262, 21266, 61912, 37470, 15825, 51231, 53082, 17257, 30727, 38897, 33687, 36036, 37176, 40793, 38107, 25813, 19386, 42643, 28292, 26507, 25568, 40349, 41495, 37571, 46381, 42706, 32291, 29374, 98533, 33095, 24289, 23171, 31691, 18003, 42279, 34786, 76933, 43771, 33542, 32722, 48179, 33228, 55101, 36602, 30959, 39901, 32213, 34769, 17187, 29524, 27924, 47357, 28833, 46724, 23823, 41805, 41646, 53205, 46077, 17807, 45767, 28066, 33612, 35797, 20011, 38678, 60317, 34468, 34692, 42354, 48268, 93771, 45479, 29541, 39559, 37081, 40758, 42205, 48903, 40953, 56548, 30873, 32321, 28296, 27806, 28736, 34497, 23523, 31949, 39286, 36781, 33436, 48567, 31157, 36686, 34211, 31152, 31396, 24716, 34723, 38253, 28452, 30343, 48169, 39162, 50094, 37850, 38400, 40744, 14716, 18275, 33804, 24491, 33735
#> $ debt_all_stgp_eval_mdn        <dbl> 50311, 30624, NA, 20004, 35889, 41000, 27500, NA, 34250, NA, 30750, 15400, NA, 44700, 41000, 29753, 40557, 38677, 33286, NA, 20500, 34760, 29743, NA, 46431, 23917, NA, NA, 23414, 31035, 43700, NA, 27500, 20500, 39656, 30728, 34166, 41000, 38662, 31756, 30750, 81000, 72389, 86864, 52347, 94019, 78548, 32699, 41000, NA, 41000, NA, 20500, 51548, 43380, 40500, 40394, 46750, NA, NA, 91630, 41000, 41000, 53604, 47808, 49626, 49450, 31500, 63550, 59380, 41000, 79041, 51250, 43252, 52152, 39681, 51807, 32518, 42500, 44866, 41000, 39934, 41000, NA, 41000, NA, 20500, NA, 30393, 20500, NA, 34572, NA, 30750, 32500, 85000, NA, 65500, 45001, 41000, 29871, 39801, 34560, 33750, 41000, 32000, 61469, 36958, 38524, NA, 53024, 77865, 30750, 51250, NA, 41000, 54454, 31158, 27142, 39448, 30048, 40678, 28646, 40308, 41000, 41000, 30842, 61500, 79888, 20206, 22000, 29000, 58726, 20833, 32950, 20500, 35398, 45836, 41000, 40529, 23451, NA, 36149, 32825, NA, 30509, 48500, 18178, 31025, 51250, 49500, 34580, 25200, 40100, 35778, 61500, 29015, 41000, NA, 29700, 32046, 106803, NA, 33900, 28500, NA, 42300, 50607, 31626, 50718, 40516, 19485, 20794, 36960, 29303, NA, 24458, 30893, 18516, 26739, NA, 45581, 25028, 50048, 14500, 29964, 40268, 39964, 45641, 46322, 43770, 19706, 23774, 40916, 28930, NA, 31727, 35933, NA, 38525, 30050, NA, 21000, NA, NA, 13098, 25991, 30750, 41000, 18007, NA, 34750, NA, NA, 21054, 51250, 30750, 98616, NA, NA, 20298, 20500, 41000, NA, 20800, NA, 39000, 50339, 46000, 68411, 39210, 20945, 23014, 22926, NA, 24163, 36979, 27502, 46711, 49318, 65000, NA, 27255, 20500, 41000, 17307, 27257, 32926, 30750, 37380, NA, 61500, 26262, 20500, 50646, 27333, 41000, NA, NA, 34689, 34000, 36722, 40007, 32280, 36805, 57796, 51250, 51250, 31596, 37294, 34100, NA, 30519, 27333, 38000, 36500, 37199, 41000, 36083, 41000, 38622, 60249, 34075, 27934, 33885, 43105, 44200, NA, NA, 41000, 47706, 23983, 20500, NA, NA, 31000, 20500, 25800, NA, 32197, NA, NA, NA, 41000, 28700, 32295, 18622, 34687, 27200, 40000, 17916, 20350, 77292, 46812, 16615, 31353, 41000, 26041, 28895, 33933, 17300, NA, 37106, 20500, 25570, NA, 40969, 41000, NA, NA, 40692, 30166, NA, 28072, 28750, 36500, NA, 20500, 40902, 50352, NA, 34750, 53414, NA, 34732, 21558, 27768, 32238, 30550, 27462, 29017, 22801, 34166, NA, 35750, 30500, 34167, 42729, 38500, 69500, 111446, 40977, 18580, 23174, NA, NA, 50451, 59132, NA, 33258, 20500, 65000, 31721, 26720, 35875, 30500, 27417, NA, 57930, 95353, 41000, 27750, 61500, 41000, 45268, 35826, 20500, 30500, 30500, 30290, 33672, 31874, 20500, 40000, 38523, 30750, NA, 22747, 51935, 34029, 70653, NA, 25000, NA, 20602, 24375, 25500, 49805, NA, 34839, 34240, 41000, 40316, 74873, 31486, 30574, 60065, 41000, 40445, 30761, 33698, 41814, 57519, 28910, 30193, 29029, 15780, NA, NA, 39806, 26252, 36659, 43491, 33705, 65000, 30750, 34962, 19092, 28518, 20500, 38605, 28607, NA, 25978, 33077, 32675, 24787, 30216, 47440, 41000, 30833, 41525, 30750, NA, 31333, 34133, 35004, 26584, 34166, 36163, 35500, 25356, 17197, 33069, 40460, 22851, 29473, NA, 31000, 41000, 29542, 37249, 70874, NA, 41000, 44312, NA, 41325, 29202, 23500, NA, 27533, 39220, NA, 30149, NA, NA, 42993, 41000, 36343, 32894, 35500, 35875, 26500, 29035, NA, NA, 33821, NA, 34123, 41000, 41000, 36114, 30000, 30750, 42553, 26500, 21195, 20500, 44750, 39907, 22705, 20500, 41000, 37289, NA, NA, 27735, 20500, 30750, 17490, 33848, 37848, 30871, 40808, 39057, 23756, 41000, 20500, 33322, 20500, 20992, NA, NA, 25414, 36527, 25546, 36614, 25281, 41000, 25525, NA, 29011, 26200, 30394, 38500, 29194, 28959, 12725, 17574, 30069, NA, 20500, 57000, 41000, 15199, 51250, 54678, 15488, 27956, 41000, 32302, 40370, 34724, 41000, 37584, 27582, 17800, 42173, 28577, NA, 21350, 41000, 41000, 30750, 43750, 41000, 34961, NA, 90123, NA, NA, 20359, 29604, 18000, 36453, 29203, 82067, 41200, 34418, 34166, 41000, 24666, 53184, 36979, 30552, 36995, 33245, 41000, 13850, 28000, NA, 41000, 30000, 44417, 20500, 39350, 44879, 47060, 41000, NA, 40899, NA, NA, 34166, NA, NA, 61500, 30750, 34936, 35682, 41000, 85690, 47559, 29892, 34644, 40999, 41208, 41000, 41000, 37500, 55437, 30200, 34167, NA, 22500, 29122, 37649, NA, 25319, 36832, 40940, 35500, 37474, 28840, 32650, 37824, 25823, 32720, 25194, 30731, 36007, 29172, 29917, 43811, 41000, 52120, 39940, 30000, 41470, 13319, NA, 30978, 22866, NA
#> $ debt_all_stgp_eval_mdn10yrpay <dbl> 517, 314, NA, 205, 368, 421, 282, NA, 352, NA, 316, 158, NA, 459, 421, 305, 416, 397, 342, NA, 210, 357, 305, NA, 477, 246, NA, NA, 240, 319, 449, NA, 282, 210, 407, 316, 351, 421, 397, 326, 316, 832, 743, 892, 537, 965, 807, 336, 421, NA, 421, NA, 210, 529, 445, 416, 415, 480, NA, NA, 941, 421, 421, 550, 491, 510, 508, 323, 653, 610, 421, 812, 526, 444, 535, 407, 532, 334, 436, 461, 421, 410, 421, NA, 421, NA, 210, NA, 312, 210, NA, 355, NA, 316, 334, 873, NA, 673, 462, 421, 307, 409, 355, 347, 421, 329, 631, 379, 396, NA, 544, 799, 316, 526, NA, 421, 559, 320, 279, 405, 309, 418, 294, 414, 421, 421, 317, 631, 820, 207, 226, 298, 603, 214, 338, 210, 363, 471, 421, 416, 241, NA, 371, 337, NA, 313, 498, 187, 319, 526, 508, 355, 259, 412, 367, 631, 298, 421, NA, 305, 329, 1097, NA, 348, 293, NA, 434, 520, 325, 521, 416, 200, 214, 379, 301, NA, 251, 317, 190, 275, NA, 468, 257, 514, 149, 308, 413, 410, 469, 476, 449, 202, 244, 420, 297, NA, 326, 369, NA, 396, 309, NA, 216, NA, NA, 134, 267, 316, 421, 185, NA, 357, NA, NA, 216, 526, 316, 1013, NA, NA, 208, 210, 421, NA, 214, NA, 400, 517, 472, 702, 403, 215, 236, 235, NA, 248, 380, 282, 480, 506, 667, NA, 280, 210, 421, 178, 280, 338, 316, 384, NA, 631, 270, 210, 520, 281, 421, NA, NA, 356, 349, 377, 411, 331, 378, 593, 526, 526, 324, 383, 350, NA, 313, 281, 390, 375, 382, 421, 370, 421, 397, 619, 350, 287, 348, 443, 454, NA, NA, 421, 490, 246, 210, NA, NA, 318, 210, 265, NA, 331, NA, NA, NA, 421, 295, 332, 191, 356, 279, 411, 184, 209, 794, 481, 171, 322, 421, 267, 297, 348, 178, NA, 381, 210, 263, NA, 421, 421, NA, NA, 418, 310, NA, 288, 295, 375, NA, 210, 420, 517, NA, 357, 548, NA, 357, 221, 285, 331, 314, 282, 298, 234, 351, NA, 367, 313, 351, 439, 395, 714, 1144, 421, 191, 238, NA, NA, 518, 607, NA, 341, 210, 667, 326, 274, 368, 313, 282, NA, 595, 979, 421, 285, 631, 421, 465, 368, 210, 313, 313, 311, 346, 327, 210, 411, 396, 316, NA, 234, 533, 349, 725, NA, 257, NA, 212, 250, 262, 511, NA, 358, 352, 421, 414, 769, 323, 314, 617, 421, 415, 316, 346, 429, 591, 297, 310, 298, 162, NA, NA, 409, 270, 376, 447, 346, 667, 316, 359, 196, 293, 210, 396, 294, NA, 267, 340, 335, 255, 310, 487, 421, 317, 426, 316, NA, 322, 350, 359, 273, 351, 371, 365, 260, 177, 340, 415, 235, 303, NA, 318, 421, 303, 382, 728, NA, 421, 455, NA, 424, 300, 241, NA, 283, 403, NA, 310, NA, NA, 441, 421, 373, 338, 365, 368, 272, 298, NA, NA, 347, NA, 350, 421, 421, 371, 308, 316, 437, 272, 218, 210, 459, 410, 233, 210, 421, 383, NA, NA, 285, 210, 316, 180, 348, 389, 317, 419, 401, 244, 421, 210, 342, 210, 216, NA, NA, 261, 375, 262, 376, 260, 421, 262, NA, 298, 269, 312, 395, 300, 297, 131, 180, 309, NA, 210, 585, 421, 156, 526, 561, 159, 287, 421, 332, 415, 357, 421, 386, 283, 183, 433, 293, NA, 219, 421, 421, 316, 449, 421, 359, NA, 925, NA, NA, 209, 304, 185, 374, 300, 843, 423, 353, 351, 421, 253, 546, 380, 314, 380, 341, 421, 142, 287, NA, 421, 308, 456, 210, 404, 461, 483, 421, NA, 420, NA, NA, 351, NA, NA, 631, 316, 359, 366, 421, 880, 488, 307, 356, 421, 423, 421, 421, 385, 569, 310, 351, NA, 231, 299, 387, NA, 260, 378, 420, 365, 385, 296, 335, 388, 265, 336, 259, 316, 370, 300, 307, 450, 421, 535, 410, 308, 426, 137, NA, 318, 235, NA
#> $ earn_count_wne_hi_1yr         <dbl> 45, 87, NA, 57, 119, 177, 32, 12, 94, 15, 129, 22, 19, 608, 208, 161, 49, 91, 37, NA, 25, 58, 151, 32, 117, 73, 12, NA, 53, 52, 128, 18, 22, 44, 91, 86, 92, 85, 24, 37, 173, 76, 290, 733, 18, 78, 75, 52, 17, NA, 63, 15, 22, 260, 36, 58, 303, 38, NA, 25, 369, 68, 416, 81, 105, 55, 80, 71, 104, 172, 47, 501, 70, 28, 287, 68, 144, 62, 265, NA, 333, 83, 65, 23, 217, NA, 132, 17, 262, 62, 18, 78, 20, 111, 80, 76, 16, 307, 48, 76, 208, 75, 326, 48, 299, 277, 655, 41, 799, 14, 192, 211, 109, 824, 46, 157, 895, 287, 90, 46, 33, 90, 56, 47, 121, 94, 30, 197, 322, 16, 34, 104, 157, 52, 28, 135, 21, 78, 41, 118, 59, 17, 35, 115, 23, 84, 357, 50, 51, 25, 107, 403, 30, 13, 56, 138, 103, 82, 46, 71, 218, 118, 11, 86, 168, 26, 156, 89, 50, 43, 49, 56, 48, 133, 25, 19, 23, 62, 34, 38, 13, 631, 106, 27, 141, 70, 200, 52, 123, 69, 344, 25, 43, 138, 100, 47, 32, 59, 31, 72, 40, 24, 65, NA, NA, 52, 42, 67, 39, 34, 14, 108, 20, 21, 59, 46, 58, 41, 28, 21, 26, 50, 109, 12, 79, 24, 71, 125, 1575, 409, 48, 71, 39, 45, NA, 115, 33, 48, 201, 371, 91, 16, 40, 69, 28, 35, 139, 330, 89, 78, 24, 81, 47, 50, 89, 58, 56, NA, 22, 301, 374, 37, 48, 47, 56, 57, 648, 230, 63, 44, 92, 22, 39, NA, 151, 108, 78, 79, 188, 113, 56, 275, 21, 45, 156, 351, 41, 30, 17, 19, 240, 13, 23, 52, 15, 19, 71, 48, 30, 40, 43, 24, 25, 69, 74, 93, 51, 91, 130, 89, 37, 50, 273, 1521, 138, 41, 349, 63, 117, 80, 17, 24, 69, 109, 26, 16, 1841, 64, 15, 22, 80, 200, 24, 36, 58, 20, 29, 101, 122, 65, 38, 46, 410, 15, 30, 49, 57, 70, 70, 66, 155, 39, 18, 18, 103, 36, 100, 93, 108, 723, 474, 136, 66, 44, 17, 14, 274, 54, 26, 35, 81, 102, 32, 61, 225, 41, 34, NA, 43, 980, 22, 42, 28, 12, 88, 44, 87, 60, 65, 100, 93, 85, 102, 183, 60, 13, 32, 112, 55, 71, 163, 11, NA, 31, 58, 62, 117, 24, 20, 58, 39, 36, 19, 678, 93, 49, 28, 171, 39, 17, 100, 88, 340, 46, 52, 57, 22, 38, 25, 77, 158, 106, 36, 75, 127, 127, 222, 63, 84, 61, 62, 91, 33, 77, 46, 31, 24, 50, 267, 362, 17, 47, 49, 19, 77, 119, 113, 59, 77, 163, 48, 35, 67, 24, 82, 37, 30, 27, 21, 83, 29, 35, 149, 18, 84, 48, 28, 105, 81, 20, 14, 94, 58, 16, 40, 37, 25, 208, 44, 57, 51, 61, 36, 58, 75, 40, 24, NA, 21, 37, 405, 313, 153, 43, 30, 101, 61, 111, 28, 254, 221, 87, 55, 29, 69, 25, 18, 310, 82, 72, 71, 42, 101, 16, 37, 117, NA, 186, 72, 64, 39, 96, 23, 17, 24, 54, 39, 148, 60, 124, 35, 20, 118, 103, 116, 154, 33, 45, 72, 48, 71, NA, 28, 157, 66, 130, 139, 171, 45, 463, 68, 85, 215, 157, 255, 361, 25, 61, 41, 29, 18, 102, 122, 79, 229, 120, 53, 103, 17, 117, NA, 19, 112, 122, 92, 289, 175, 649, 323, 107, 378, 140, 122, 99, 251, 491, 39, NA, 259, 25, 172, NA, 311, 37, 120, 109, 107, 12, 247, 49, NA, 175, 16, 42, 1725, 20, 29, 37, 41, 23, 97, 112, 172, 125, 34, 192, 20, 43, 37, 151, 228, 475, 31, 29, 16, 29, 28, 187, 23, 81, 28, 144, 36, 130, 69, 68, 79, 269, 83, 38, 23, 154, 50, 174, 163, 78, 196, 59, 36, 97, 2462, 37, 50, 47, 29
#> $ earn_mdn_hi_1yr               <dbl> 40737, 67202, NA, 68499, 81031, 107636, 45529, 53358, 66686, 65053, 60240, 58673, 82882, 98670, 97211, 63377, 67101, 127000, 59986, NA, 57318, 54948, 71255, 55286, 62756, 63005, 79450, NA, 68499, 66573, 73378, 82440, 61814, 63749, 84161, 76460, 78719, 74063, 101406, 95739, 74576, 108244, 103705, 150453, 55338, 109763, 78134, 63005, 71575, NA, 114223, 122038, 55512, 75573, 62260, 71435, 65310, 77401, NA, 67420, 99335, 64493, 74641, 79284, 92410, 76460, 98403, 98213, 133919, 109763, 74200, 128506, 69897, 37208, 89790, 67660, 81391, 59124, 94851, NA, 71575, 65984, 54109, 74576, 115897, NA, 91211, 52524, 69218, 76930, 60320, 63997, 69338, 92885, 58866, 89130, 48823, 112701, 63600, 54531, 45665, 50606, 75957, 53608, 67660, 76325, 69119, 61814, 89535, 81812, 41193, 76041, 69967, 56329, 58221, 66062, 56796, 69032, 50606, 65131, 51106, 60485, 55964, 40402, 58173, 52107, 54035, 130046, 127602, 57318, 64990, 73635, 105167, 41937, 53108, 60920, 64493, 75623, 64990, 76773, 62579, 90412, 71486, 67273, 72796, 58221, 101406, 53984, 73041, 76460, 81807, 72685, 70176, 91744, 61218, 84653, 60452, 68219, 71351, 62012, 93555, 160423, 63005, 53244, 54442, 74200, 60275, 52789, 74307, 62012, 57318, 70176, 66325, 69338, 48198, 97071, 54435, 74576, 61516, 69338, 43798, 66941, 63855, 68666, 64865, 79473, 97959, 71575, 82440, 72719, 69146, 63005, 55286, 58221, 82238, 67660, 66045, 54192, 46478, 65131, 55713, 69338, 71015, NA, NA, 50856, 47260, 52420, 60878, 60839, 53358, 60399, 54635, 78343, 50856, 44942, 52107, 104749, 55036, 74576, 60771, 50231, 79473, 70456, 73769, 69338, 105083, 93646, 74230, 108154, 56234, 65089, 55964, 41789, NA, 64940, 55108, 102409, 115060, 111713, 73949, 63005, 63005, 70112, 77401, 75921, 83270, 109492, 77401, 62632, 79450, 76083, 47260, 63005, 72902, 72605, 122038, NA, 52107, 66631, 62674, 64990, 61888, 109095, 65486, 91078, 140364, 100951, 97071, 71854, 90146, 55338, 57995, NA, 80004, 77297, 74576, 82882, 78971, 74262, 57318, 115006, 67362, 81333, 75352, 107198, 77715, 53629, 52107, 38289, 47025, 41007, 46478, 70009, 31670, 63005, 79598, 49136, 52941, 53472, 53608, 55964, 49621, 54585, 57318, 54739, 48901, 61888, 68666, 81491, 55964, 71392, 112939, 65476, 54621, 61516, 75405, 74576, 80082, 83768, 44170, 71575, 93816, 79884, 58673, 62012, 68321, 60771, 69338, 70456, 87309, 76729, 70009, 60298, 77087, 64196, 59124, 67660, 89613, 84653, 100690, 90264, 112363, 57318, 114225, 56931, 82440, 68666, 71854, 54296, 64196, 52941, 69338, 55964, 68047, 34420, 62756, 68422, 52492, 166356, 155273, 101494, 54534, 55211, 51273, 67660, 108092, 105863, 47260, 61020, 56276, 61651, 71015, 84653, 61859, 66449, 56641, NA, 54109, 150006, 63005, 59648, 109763, 57318, 66049, 55078, 54470, 54769, 66293, 58402, 63898, 71575, 68499, 76208, 60185, 52107, 56776, 59288, 72325, 75706, 93768, 48041, NA, 57318, 54109, 56931, 63275, 76460, 50856, 56234, 50856, 53775, 53358, 135907, 82440, 66728, 53775, 86997, 61814, 52107, 61859, 87309, 81491, 89968, 68079, 61516, 41349, 73949, 63005, 73231, 73500, 89841, 81997, 80234, 81836, 79284, 67918, 64150, 65238, 64493, 75518, 60623, 48823, 56641, 99960, 43426, 59350, 61303, 98720, 89083, 52107, 70596, 72762, 63005, 68079, 68708, 83848, 80166, 57860, 55456, 57770, 69338, 72274, 81333, 106421, 61177, 54035, 57995, 61516, 76460, 55964, 63005, 82808, 57318, 91539, 67995, 58221, 82756, 66287, 55964, 54713, 55964, 63997, 63005, 65332, 63749, 94408, 65238, 53045, 62579, 48432, 62012, 84653, 61020, 82756, 79284, 120549, NA, 47846, 59045, 95618, 179111, 57149, 61516, 50606, 91502, 55964, 67660, 54869, 110109, 108265, 75204, 87815, 59485, 55693, 66821, 78971, 51690, 65734, 82440, 61681, 58943, 63749, 51273, 57318, 72983, NA, 102902, 49883, 57017, 61064, 77144, 50856, 54713, 52941, 75330, 57995, 58402, 52107, 49527, 44021, 52107, 75282, 64493, 76460, 102743, 57318, 53984, 63997, 60523, 72860, NA, 55286, 100087, 69897, 68858, 62546, 73486, 48041, 75097, 71575, 82756, 66772, 70680, 99069, 62528, 53358, 46254, 58673, 61020, 60433, 86036, 58221, 64493, 128149, 74200, 65486, 73852, 72482, 111769, NA, 56415, 68548, 64150, 59576, 105083, 73164, 137496, 95317, 63005, 73787, 108532, 75204, 59350, 84653, 67524, 63005, NA, 121825, 64493, 83704, NA, 100554, 81491, 83915, 79284, 79150, 58673, 69165, 56234, NA, 102902, 67660, 105465, 60729, 69338, 74200, 87604, 63005, 62260, 121046, 93467, 173400, 81886, 46478, 85243, 57318, 64990, 57318, 91211, 98551, 135440, 62012, 63997, 35416, 62409, 61218, 69338, 66915, 73399, 73949, 65524, 63005, 100738, 57318, 84653, 83388, 64295, 79541, 77715, 73949, 35351, 32806, 37208, 96288, 54509, 71575, 72274, 51607, 77297, 71819, 71015, 83388, 63997, 65657
#> $ earn_count_wne_hi_2yr         <dbl> 37, 74, NA, NA, 95, 131, 11, NA, 72, 12, 109, 16, 13, 552, 148, 172, 34, 54, 31, NA, 13, 50, 73, 27, 121, 32, NA, NA, 52, 62, 91, 19, 25, 33, 85, 72, 53, 58, 21, 36, 182, 108, 159, 654, 14, 70, 82, 37, NA, 14, 50, NA, NA, 272, 21, 35, 222, 48, NA, 13, 376, 24, 258, 37, 116, 49, 90, 35, 105, 134, 46, 638, 95, 12, 266, 69, 165, 43, 161, 32, 278, 80, 28, 22, 174, NA, 105, NA, 164, 41, 16, 52, NA, 35, 37, 73, 13, 370, 46, 99, 136, NA, 166, 36, 216, 247, 681, 34, 717, NA, 217, 185, 94, 590, 76, 128, 717, 223, 67, 54, 29, 30, 59, 34, 46, 66, 23, 170, 293, 16, NA, 87, 130, 51, 23, 83, 27, 81, 22, 100, 37, 14, 21, 78, 18, 76, 316, 34, 46, 29, 88, 150, 28, NA, 150, 94, 80, 66, 35, 90, 192, 116, NA, 55, 88, 23, 136, 79, 30, 43, 64, 43, 29, 131, 15, NA, NA, 42, 19, 20, NA, 504, 88, 22, 86, 42, 193, 40, 104, 30, 358, 15, 39, 82, 45, 44, 14, 38, 21, 41, 33, 13, 34, NA, NA, 18, 16, 48, 33, 16, 15, 120, 25, 19, 42, 52, 53, 53, 13, NA, 16, 55, 31, NA, 43, 21, 61, 133, 1384, 287, 47, 67, 26, 30, 23, 93, 34, 51, 189, 313, 52, 16, NA, 62, 31, 35, 68, 218, 69, 54, 14, 82, 17, 21, 71, 43, 43, 21, 16, 251, 246, 37, 30, 33, 59, 45, 626, 128, 54, 19, 70, 18, 27, NA, 134, 109, 58, 64, 142, 95, 52, 89, NA, 32, 144, 297, 31, 30, NA, NA, 220, 16, 21, NA, 14, 18, 47, 24, 17, 34, 42, 16, 31, 40, 44, 73, 41, 19, 104, 89, 19, 59, 122, 1114, 99, 47, 205, 54, 124, 79, 15, 12, 71, 93, 15, 17, 1017, 38, 15, 18, 104, 173, NA, 21, 36, 25, 20, 94, 53, 56, 29, 35, 201, NA, 28, 35, 56, 42, 46, 59, 108, NA, NA, 12, 62, 22, 73, 66, 76, 665, 466, 117, 19, 43, 13, NA, 249, 46, 22, 22, 63, 104, 19, 52, 143, 26, 35, NA, 51, 942, 17, 26, 24, NA, 50, 35, 72, 22, 49, 84, 81, 38, 73, 99, 47, 16, 23, 46, 37, 46, 45, NA, NA, 28, 43, 63, 110, 30, 19, 39, 19, 40, 14, 315, 70, 44, 20, 74, 23, 11, 54, 37, 289, 33, 58, 29, 13, 18, 21, 46, 115, 96, 56, 48, 116, 60, 250, 53, 52, 40, 60, 67, 35, 82, 31, 33, NA, 35, 224, 305, NA, 37, 26, 14, 58, 56, 78, 45, 23, 75, 48, 27, 27, 37, 57, 16, 13, 19, NA, 94, NA, 30, 99, NA, 82, 38, 19, 100, 72, NA, NA, 57, 21, 25, 45, 37, 25, 129, 21, 51, 17, 33, 38, 50, 43, 40, 17, NA, 14, 19, 376, 270, 176, 35, NA, 113, 46, 81, 28, 167, 89, 59, 37, 16, 59, 11, 13, 220, 63, NA, 75, 37, 74, 21, 13, 99, NA, 154, 46, 59, 28, 58, 14, 15, 19, 61, 25, 103, 23, 31, 18, 12, 118, 64, 84, 159, 18, 36, 46, 48, 50, NA, NA, 106, 43, 25, 129, 186, 31, 355, 35, 78, 38, 151, 265, 314, 21, 66, 29, 18, 15, 84, 82, 53, 194, 103, 21, 94, NA, 113, NA, 14, 87, 118, 130, 272, 165, 591, 210, 78, 185, 125, 90, 89, 170, 446, 37, NA, 199, 22, 100, NA, 113, 38, 112, 45, 111, NA, 201, 26, NA, 138, 32, 39, 1359, NA, 28, 27, 20, 16, 68, 116, 310, 91, 21, 178, 21, 23, 33, 140, 149, 476, 34, 16, NA, 19, 37, 193, 20, 81, 15, 143, 11, 128, 48, 63, 43, 226, 49, 32, 17, 158, 51, 137, 88, 51, 156, 46, 21, 93, 1704, 39, 35, 14, 23
#> $ earn_mdn_hi_2yr               <dbl> 43798, 70176, NA, NA, 80004, 114892, 50856, NA, 66461, 52107, 58549, 58221, 81333, 98650, 92743, 65042, 54739, 106421, 57318, NA, 48432, 67101, 74105, 58402, 59425, 73075, NA, NA, 71015, 73949, 72214, 85357, 50856, 69338, 90049, 80779, 79838, 67660, 106421, 88907, 73739, 116258, 90983, 143744, 60320, 101406, 80459, 62012, NA, 63005, 88861, NA, NA, 69657, 47260, 67660, 65238, 78074, NA, 76460, 92733, 69338, 79037, 68499, 89672, 80124, 96866, 87973, 128588, 108331, 83768, 131090, 63997, 47260, 89184, 71015, 80503, 66541, 80301, 54661, 66897, 57318, 60161, 87604, 106249, NA, 90348, NA, 70044, 73949, 52941, 64706, NA, 86424, 54697, 99458, 41193, 114046, 61303, 51482, 46790, NA, 75047, 52107, 59688, 75787, 67685, 61020, 88546, NA, 39653, 83022, 65557, 58605, 60689, 62806, 56918, 66566, 53358, 62260, 45696, 59253, 49854, 38289, 60173, 53894, 51106, 134287, 127034, 52941, NA, 65486, 111283, 41342, 55964, 62343, 56415, 78719, 49683, 74786, 61516, 84653, 64493, 65238, 84653, 59576, 100096, 54386, 84653, 73635, 80189, 71661, 72884, NA, 60071, 87470, 59942, 63600, 62260, 58303, 91587, 189565, NA, 48432, 57770, 68778, 61350, 55840, 69338, 71957, 54809, 56931, 63166, 65238, 52107, NA, NA, 62260, 61020, 63005, NA, 66326, 64706, 63005, 57589, 70680, 96991, 68666, 78657, 63005, 67473, 67660, 55286, 57995, 73299, 57318, 56641, 61218, 48432, 69338, 60523, 71015, 57318, NA, NA, 49787, 48432, 61144, 36560, 84653, 61814, 63692, 56641, 67101, 51106, 49344, 46869, 87973, 58673, NA, 58673, 49883, 75204, NA, 78719, 74576, 106421, 92188, 72006, 106102, 51750, 68331, 53537, 52107, 52107, 64572, 63005, 89968, 115060, 106688, 72214, 61177, NA, 64328, 82882, 75518, 71854, 99741, 74200, 61516, 78971, 71778, 46478, 68666, 83388, 71015, 119061, 53775, 69338, 65180, 63318, 81111, 66077, 103746, 64493, 89968, 140166, 98481, 90856, 73635, 89412, 57318, 60771, NA, 90079, 73801, 72602, 80858, 75795, 65238, 65131, 112319, NA, 75204, 72469, 101300, 66915, 55964, NA, NA, 46673, 55964, 46087, NA, 33993, 59722, 88527, 53358, 50465, 59969, 55286, 56563, 47650, 54035, 52107, 53358, 51197, 52265, 70176, 88904, 70456, 58402, 112270, 64473, 50856, 58673, 71495, 73949, 87068, 91017, 55512, 50558, 90856, 82440, 64990, 66171, 69218, 60771, 59417, 55286, 79755, 74953, NA, 73446, 65486, 63749, 73635, 62211, 88971, 85918, 97604, 79473, 109327, NA, 125611, 57318, 71015, 65238, 62409, 54192, 59688, NA, NA, 49644, 70296, 33993, 65387, 71575, 54622, 170426, 145332, 101518, 52107, 56157, 47260, NA, 113850, 108092, 70456, 58673, 56776, 60623, 81498, 88506, 64196, 68499, 52941, NA, 59788, 145543, 96539, 61516, 90637, NA, 67101, 59124, 54401, 58673, 81997, 54686, 63430, 74576, 68443, 68499, 50563, 46478, 51607, 56716, 69897, 76460, 77966, NA, NA, 58557, 49084, 54810, 64493, 71854, 67660, 54748, 48849, 49214, 55964, 127836, 84653, 64121, 44384, 74200, 65486, 49683, 57318, 86867, 76836, 84653, 55286, 60230, 57318, 76460, 58673, 81111, 73035, 86129, 79688, 83177, 85860, 79284, 65610, 63005, 61814, 58402, 73635, 52733, 55964, 61814, 98403, 61516, NA, 62260, 108577, 90283, NA, 71575, 72899, 60161, 65089, 69338, 84284, 64706, 66077, 58092, 67324, 67660, 69338, 76083, 95473, 46087, 63328, 69338, NA, 75518, NA, 63997, 86621, NA, 86867, 72510, 44971, 79284, 60878, NA, NA, 48139, 60623, 58221, 72796, 66104, 82440, 65486, 58402, 54154, 45383, 58402, 86867, 59726, 84100, 73425, 96183, NA, 67164, 61516, 94864, 175674, 57735, 58221, NA, 82440, 51169, 65066, 59124, 102409, 109095, 67660, 91211, 59169, 52733, 64990, 57318, 50677, 65198, NA, 61888, 61020, 59425, 42682, 48432, 74262, NA, 95102, 48198, 54724, 60771, 68778, 46087, 116083, 50465, 76460, 69338, 63005, 43798, 53810, 39369, 33987, 73446, 67101, 76041, 99251, 43240, 54463, 62579, 68219, 70456, NA, NA, 96457, 65131, 57318, 67324, 77966, 62012, 68688, 80022, 78343, 64990, 67324, 92563, 59253, 60771, 45696, 67660, 64990, 59124, 77401, 55625, 54109, 127993, 65486, 63005, 68858, NA, 120363, NA, 52941, 68965, 60013, 57526, 115761, 76460, 131707, 94674, 52420, 68858, 97663, 74786, 52941, 75706, 65131, 53984, NA, 119642, 52107, 71015, NA, 98213, 76878, 80521, 73635, 79912, NA, 68499, 45500, NA, 105585, 63749, 91744, 57714, NA, 78896, 74157, 58673, 76460, 113246, 93467, 155263, 74200, 53358, 82685, 77715, 61064, 58221, 86424, 100915, 127652, 63005, 57995, NA, 63005, 63005, 66461, 65797, 72462, 94408, 60689, 88198, 98506, 61218, 85206, 80292, 65267, 77087, 73949, 63997, 32678, 33993, 37208, 88342, 43519, 78029, 74576, 56415, 79389, 70169, 66821, 64990, 53358, 66821
#> $ tuit_grad_res                 <dbl> 8130, 7588, 11700, 9834, 10470, 9072, 9540, 9936, 5598, 18530, 7146, 8436, 11700, 10810, 11372, 8956, 7680, 7379, 4626, 4932, 4594, 15678, 13152, 5022, 16224, 11430, 17500, 6738, 6738, 6738, 6738, 6738, 6738, 6738, 6738, 6738, 6738, 6738, 6738, 6738, 6738, 11220, 11220, 11220, 11220, 11220, 26896, 8150, 16722, 14940, 17550, 17532, 6738, 13320, 12888, 10452, 11232, 15696, 16713, 44068, 31300, 10980, 20100, 6738, 25470, 6738, 23310, 6738, 27594, 36657, 6738, 41592, 34680, 4410, 6714, 9983, 10836, 12567, 9628, 45288, 11250, 20720, 14940, 6496, 13726, 16632, 12060, 15660, 17730, 20745, 12822, 6497, 6497, 30960, 8190, 28422, 17100, 28800, 13410, 17820, 13050, 6916, 16296, 8019, 5467, 22338, 8912, 16725, 10770, 13320, 21964, 34200, 8570, 18373, 10755, 18996, 9630, 8350, 14076, 16768, 12269, 10584, 7088, 3402, 11736, 5512, 5706, 39800, 13452, 3330, 5187, 6636, 8492, 8910, 4374, 3996, 18600, 15288, 17190, 6232, 6789, 6460, 8851, 10800, 15300, 14328, 18960, 6936, 29730, 7368, 13263, 17168, 7466, 29784, 14310, 18594, 9662, 10962, 15372, 12906, 11858, 50424, 6408, 14845, 24750, 12780, 18996, 17993, 13302, 15100, 10524, 6312, 7767, 11663, 6750, 11460, 7872, 35492, 8497, 7128, 6648, 13000, 16403, 11070, 11700, 8474, 8856, 6996, 16020, 17964, 9990, 5922, 3398, 10068, 9480, 9306, 9670, 12000, 6218, 10764, 10085, 8250, 5173, 10950, 11904, 5670, 6552, 11400, 9132, 6593, 5703, 7234, 5686, 6490, 6540, 5336, 5511, 49030, 7524, 8460, 6840, 24468, 13140, 7182, 7092, 8100, 50410, 15840, 8244, 11718, 7074, 12167, 6858, 14106, 10530, 11610, 22420, 33800, 27216, 49176, 48507, 1675, 13736, 42800, 14793, 3186, 14304, 13524, 16863, 22633, 2520, 20556, 29640, 14994, 32333, 24120, 25344, 2700, 25128, 12232, 12942, 27666, 15120, 13712, 12720, 19116, 21466, 16764, 11300, 9959, 16338, 12869, 10710, 6927, 14746, 13312, 12778, 9630, 8550, 8532, 7185, 16240, 8820, 7373, 8100, 24386, 14076, 6885, 6720, 5269, 10080, 6298, 7141, 7644, 6858, 10206, 7780, 7549, 8400, 7575, 6683, 8496, 7200, 12654, 15672, 9405, 4551, 8025, 15030, 19350, 6307, 4644, 48950, 12690, 8400, 4135, 9810, 3600, 4649, 7134, 14038, 3600, 4968, 4752, 16000, 13560, 18810, 9108, 9810, 16720, 15660, 21564, 18000, 15102, 12960, 10196, 13156, 24156, 10464, 19008, 14545, 22239, 16536, 19476, 33328, 10686, 12024, 10998, 3934, 4418, 7780, 4088, 14376, 3026, 37623, 32517, 14310, 29286, 26460, 43552, 29500, 10130, 10130, 10130, 16380, 15624, 32160, 22320, 19116, 27087, 13536, 28272, 17505, 14040, 15156, 19170, 13500, 13230, 42610, 39936, 21870, 10350, 28680, 13482, 41804, 12240, 13194, 14382, 16182, 15930, 15888, 10870, 10870, 10870, 10870, 10870, 10870, 10870, 10870, 10870, 34632, 16200, 17483, 19800, 4744, 11326, 4656, 12654, 3371, 7722, 9900, 13770, 4545, 9643, 4252, 5117, 4647, 8088, 4448, 3639, 11520, 11194, 37520, 9450, 4348, 12100, 6865, 7185, 5570, 7731, 5713, 12697, 7632, 11250, 42576, 12790, 9565, 16020, 14400, 16008, 11090, 11349, 10200, 10260, 12890, 8964, 10825, 10620, 11560, 9510, 12600, 13166, 18636, 18936, 11970, 13474, 10908, 8492, 9270, 20772, 6043, 3899, 5033, 13734, 4886, 4464, 5316, 22230, 10762, 15504, 15000, 12150, 14391, 30421, 13248, 17496, 14292, 19560, 13140, 11592, 11520, 11592, 16261, 16254, 11592, 7824, 32184, 22212, 16200, 17370, 11934, 11772, 13248, 11592, 23020, 43320, 25560, 10106, 9300, 12060, 19964, 32286, 15858, 12240, 25000, 11352, 12672, 11592, 11592, 15786, 17917, 15840, 11592, 24800, 22368, 13260, 26832, 11826, 8880, 11796, 9180, 7542, 3750, 15075, 70, 8826, 7650, 12398, 13320, 14312, 6840, 7516, 8300, 20160, 8580, 22600, 5700, 18576, 7992, 9024, 11376, 18956, 8820, 7974, 8100, 11044, 8502, 8380, 9200, 6426, 6870, 19890, 3783, 28494, 12240, 3568, 15408, 30200, 3619, 3630, 16481, 7074, 6602, 5798, 7956, 15930, 6048, 3350, 20115, 14940, 3849, 5450, 15390, 4362, 35712, 25092, 20934, 5139, 15570, 40896, 10350, 4896, 6167, 3672, 3228, 5784, 7141, 11300, 12418, 4497, 4896, 26640, 5186, 1600, 5400, 4522, 10620, 4402, 6680, 7280, 5323, 7192, 6473, 7677, 13412, 14436, 17073, 15096, 9000, 12726, 13715, 10628, 10776, 9648, 8051, 8820, 6588, 16920, 8736, 20304, 12467, 10976, 15026, 13914, 10953, 16457, 18202, 25381, 13800, 19353, 11224, 15207, 9582, 11952, 5770, 9000, 10176, 12015, 10539, 10170, 16164, 10305, 4860, 19350, 7936, 7640, 7640, 10387, 7640, 7640, 4338, 2652, 2652, 2652, 9208, 10692, 11160, 6738, 11880, 6738, 6500, 6974, 6738, 9000, 5144
#> $ fee_grad_res                  <dbl> 1236, 0, 1390, 508, 0, 1624, 840, 640, 1226, 610, 802, 1385, 410, 696, 1011, 451, 1604, 971, 1292, 1026, 1287, 500, 0, 918, 220, 710, 150, 3603, 1385, 1256, 1138, 1595, 1568, 951, 841, 1088, 1092, 988, 911, 1115, 1428, 2017, 1844, 1463, 2118, 1865, 370, 0, 300, 40, 85, 500, 1737, 180, 930, 135, 0, 80, 619, 380, 120, 0, 172, 1612, 354, 1012, 50, 1946, 0, 0, 1916, 713, 400, 2488, 1738, 0, 1774, 840, 2088, 303, 0, 184, 2510, 4460, 2270, 80, 510, 200, 720, 0, 828, 4722, 4801, 792, 50, 690, 526, 45, 0, 0, 100, 1956, 1294, 1857, 1190, 250, 2185, 200, 1967, 0, 1200, 1016, 1797, 802, 400, 0, 0, 2078, 0, 0, 450, 80, 1974, 1602, 400, 1454, 1850, 3180, 2200, 1376, 2022, 2092, 2270, 0, 2116, 1962, 0, 880, 130, 2208, 1713, 2070, 120, 0, 260, 360, 330, 2769, 250, 1900, 3080, 720, 1504, 500, 100, 848, 0, 390, 0, 0, 1981, 440, 1389, 100, 0, 100, 313, 327, 375, 450, 4059, 1642, 3558, 0, 200, 960, 0, 588, 500, 200, 595, 0, 930, 428, 0, 1075, 1501, 0, 280, 0, 240, 1884, 657, 0, 958, 406, 862, 0, 1514, 0, 0, 110, 905, 0, 300, 300, 150, 0, 2755, 2483, 1872, 1064, 2166, 2172, 1829, 3996, 3939, 1980, 1142, 0, 830, 682, 1508, 1924, 2448, 210, 1800, 60, 270, 1538, 1404, 0, 1512, 60, 0, 40, 0, 580, 90, 710, 88, 8563, 0, 30, 0, 2556, 375, 2089, 355, 280, 4671, 162, 195, 405, 52, 0, 60, 2664, 690, 0, 790, 0, 1235, 0, 766, 150, 328, 0, 722, 432, 0, 350, 310, 290, 1757, 923, 0, 0, 0, 0, 669, 1495, 0, 883, 0, 214, 360, 777, 684, 1277, 0, 120, 120, 100, 20, 600, 0, 110, 300, 1095, 701, 126, 396, 324, 660, 0, 2342, 0, 490, 546, 1101, 910, 330, 0, 100, 1758, 525, 1203, 1441, 1676, 0, 1131, 532, 535, 1175, 175, 0, 630, 50, 400, 198, 870, 910, 968, 2718, 1944, 3316, 700, 1676, 2806, 3131, 450, 2097, 60, 1186, 3214, 0, 1386, 2083, 1598, 1526, 853, 0, 1624, 1335, 970, 724, 650, 790, 2002, 85, 308, 432, 430, 470, 860, 491, 970, 490, 111, 290, 1904, 540, 0, 620, 950, 160, 0, 276, 2432, 100, 350, 1000, 300, 274, 50, 0, 814, 351, 180, 340, 1824, 2051, 2477, 1696, 711, 1284, 1063, 515, 480, 1242, 1000, 550, 200, 2977, 549, 2632, 0, 2162, 50, 0, 105, 2902, 1963, 3026, 2636, 2477, 2484, 2595, 2285, 0, 536, 490, 0, 2844, 720, 1375, 1458, 962, 1405, 0, 0, 1765, 0, 34, 1678, 114, 50, 685, 0, 0, 918, 420, 0, 638, 0, 500, 450, 865, 0, 0, 1555, 176, 300, 100, 0, 12, 410, 1905, 2668, 751, 673, 2702, 2070, 3283, 306, 1110, 490, 1434, 0, 180, 1651, 1852, 213, 1317, 0, 1710, 0, 263, 2573, 90, 3916, 130, 468, 5096, 138, 840, 0, 230, 550, 0, 450, 274, 2923, 570, 1030, 0, 1314, 1415, 0, 948, 3318, 990, 0, 550, 50, 600, 3384, 3771, 890, 100, 0, 2399, 300, 1728, 0, 0, 0, 0, 1566, 100, 700, 40, 0, 12914, 856, 0, 400, 120, 300, 0, 1042, 1473, 730, 200, 260, 0, 0, 1379, 0, 70, 30, 1643, 1260, 1776, 1790, 1394, 1040, 1171, 0, 20, 0, 2612, 3006, 350, 2732, 800, 0, 1440, 2146, 2485, 1360, 1166, 1192, 982, 1575, 1958, 2367, 0, 1450, 2029, 1733, 816, 2782, 540, 150, 324, 2184, 680, 5664, 960, 1531, 1801, 2437, 2141, 3120, 1678, 0, 0, 1126, 1480, 48, 1915, 5118, 2125, 2364, 1180, 1947, 0, 756, 954, 630, 1054, 912, 182, 0, 2176, 1916, 5258, 500, 60, 3096, 35, 1104, 379, 92, 3030, 180, 2744, 1190, 2065, 2167, 2654, 0, 841, 424, 200, 100, 0, 765, 1529, 1059, 921, 0, 1734, 0, 700, 0, 0, 120, 0, 0, 0, 0, 0, 1271, 1122, 1402, 1066, 1396, 1335, 900, 900, 900, 794, 300, 300, 1911, 500, 907, 290, 1987, 1075, 0, 1690
#> $ tuit_grad_nres                <dbl> 16260, 17294, 11700, 21830, 26950, 27216, 9540, 20592, 11196, 18530, 14292, 17233, 11700, 23480, 31124, 17781, 17400, 18842, 9252, 9864, 9188, 15678, 13152, 7452, 16224, 11430, 17500, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 26322, 26322, 26322, 26322, 26322, 26896, 8150, 16722, 14940, 17550, 17532, 15666, 13320, 12888, 10452, 11232, 15696, 16713, 44068, 31300, 10980, 20100, 15666, 25470, 15666, 23310, 15666, 27594, 36657, 15666, 41592, 34680, 10332, 22374, 20153, 28656, 12567, 23604, 45288, 11250, 20720, 14940, 18102, 34762, 16632, 12060, 15660, 17730, 20745, 12822, 18102, 18102, 30960, 8190, 28422, 17100, 28800, 13410, 17820, 13050, 25759, 16296, 22108, 16695, 22338, 21393, 16725, 27335, 13320, 21964, 34200, 19585, 18373, 10755, 18996, 9630, 19048, 14076, 16768, 12269, 10584, 22166, 13590, 11736, 13507, 11952, 39800, 27872, 13248, 18486, 26518, 24090, 8910, 15750, 15498, 18600, 36768, 17190, 20682, 20870, 21268, 8851, 10800, 15300, 14328, 18960, 16656, 29730, 14736, 22217, 17168, 15038, 29784, 14310, 18594, 9662, 10962, 15372, 12906, 20426, 50424, 12816, 14845, 24750, 12780, 18996, 17993, 13302, 15100, 26310, 11156, 11651, 11663, 6750, 11460, 7872, 35492, 16691, 13986, 15661, 13000, 16403, 11070, 11700, 21786, 26460, 6996, 16020, 17964, 9990, 18414, 9676, 10068, 22176, 9306, 21828, 12000, 16302, 10764, 10085, 16786, 12704, 10950, 11904, 5670, 6552, 16320, 9132, 19478, 16778, 20673, 16617, 18590, 19017, 5336, 19239, 49030, 24498, 8460, 18468, 24468, 19062, 12384, 9108, 8100, 50410, 15840, 11862, 25272, 13860, 12167, 12060, 14106, 10530, 11610, 22420, 33800, 27216, 49176, 48507, 1675, 13736, 42800, 14793, 3186, 25853, 29644, 32913, 22633, 4140, 20556, 29640, 27068, 32333, 24120, 25344, 2700, 25128, 18216, 12942, 27666, 27840, 13712, 12720, 19116, 43346, 32940, 19998, 14922, 24648, 24517, 10710, 6927, 31939, 28195, 12778, 9630, 8550, 8532, 14370, 25120, 8820, 11201, 8100, 24386, 14076, 6885, 10120, 5269, 10080, 6298, 7141, 21912, 6858, 10206, 20900, 16419, 8400, 7575, 13366, 8496, 7200, 12654, 15672, 9405, 9103, 8025, 15030, 19350, 11767, 9324, 48950, 12690, 8400, 18742, 9810, 7200, 12987, 20412, 14038, 7200, 18878, 18662, 16000, 13560, 18810, 10494, 9810, 16720, 15660, 21564, 18000, 15102, 12960, 17966, 17831, 24156, 15837, 28092, 14545, 22239, 28128, 19476, 33328, 16449, 12024, 17856, 9880, 7552, 22643, 14254, 14376, 8730, 37623, 32517, 14310, 29286, 26460, 43552, 29500, 18720, 18720, 18720, 16380, 15624, 32160, 22320, 19116, 27087, 13536, 28272, 17505, 14040, 15156, 19170, 13500, 13230, 42610, 39936, 21870, 10350, 28680, 13482, 41804, 12240, 13194, 14382, 16182, 15930, 15888, 22210, 22210, 22210, 22210, 22210, 22210, 22210, 22210, 22210, 34632, 16200, 17483, 19800, 17913, 11326, 17547, 12654, 14219, 7722, 9900, 13770, 16950, 26854, 17423, 18566, 17347, 22610, 16667, 13896, 11520, 11194, 37520, 9450, 14755, 12100, 6865, 19184, 14873, 13237, 5713, 12697, 13284, 11250, 42576, 24532, 16297, 16020, 14400, 16008, 19362, 11349, 10200, 10260, 29604, 8964, 10825, 10620, 32008, 17502, 12600, 23502, 18636, 18936, 11970, 22890, 10908, 12992, 9270, 20772, 15010, 8813, 19801, 13734, 18989, 10674, 11652, 22230, 13354, 15504, 15000, 21799, 24759, 30421, 20736, 17496, 17892, 19560, 13140, 17400, 11520, 17400, 16261, 16254, 17400, 7824, 32184, 22212, 16200, 17370, 11934, 11772, 13248, 17400, 23020, 43320, 25560, 17636, 9300, 12060, 34266, 32286, 15858, 12240, 25000, 11352, 12672, 17400, 17400, 21636, 17917, 15840, 17400, 24800, 22368, 13260, 26832, 11826, 8880, 24206, 9180, 7542, 3750, 15075, 70, 18424, 7650, 27008, 24144, 27570, 6840, 14449, 22280, 20160, 8580, 22600, 5700, 18576, 22248, 9024, 11376, 18956, 17604, 22086, 24218, 29232, 14262, 20020, 23720, 6426, 6870, 19890, 11128, 28494, 12240, 10912, 15408, 30200, 11564, 10974, 16481, 15696, 13046, 13142, 17100, 15930, 13392, 10694, 20115, 14940, 5019, 12794, 15390, 12390, 35712, 25092, 20934, 12483, 15570, 40896, 10350, 12240, 14327, 11015, 10572, 15953, 15638, 21518, 24150, 12326, 12294, 26640, 20785, 8244, 12744, 11867, 10620, 5081, 6680, 22861, 18632, 17718, 22848, 16161, 13412, 14436, 17073, 38160, 24686, 12726, 13715, 29306, 10776, 26688, 8051, 8820, 15462, 16920, 25548, 20304, 25095, 22479, 25168, 13914, 25438, 16457, 18202, 25381, 13800, 19353, 24656, 27255, 19866, 11952, 14114, 23238, 10176, 12015, 10539, 10170, 16164, 10305, 4860, 19350, 7936, 16771, 16771, 23424, 16771, 16771, 12978, 2652, 2652, 2652, 28010, 10692, 11160, 15666, 11880, 15666, 6500, 28170, 15666, 9000, 17544
#> $ fee_grad_nres                 <dbl> 1236, 0, 1390, 508, 0, 1624, 840, 640, 1226, 610, 802, 1727, 410, 696, 1011, 513, 1604, 971, 1292, 1026, 1287, 500, 0, 918, 220, 710, 150, 3603, 1385, 1256, 1138, 1595, 1568, 951, 841, 1088, 1092, 988, 911, 1115, 1428, 2017, 1844, 1463, 2118, 1865, 370, 0, 300, 40, 85, 500, 1737, 180, 930, 135, 0, 80, 619, 380, 120, 0, 172, 1612, 354, 1012, 50, 1946, 0, 0, 1916, 713, 400, 2488, 1738, 0, 1774, 840, 2088, 303, 0, 184, 2510, 5654, 2270, 80, 510, 200, 720, 0, 828, 5917, 5996, 792, 50, 690, 526, 45, 0, 0, 100, 2898, 1294, 2561, 1751, 250, 2809, 200, 2795, 0, 1200, 1016, 2348, 802, 400, 0, 0, 2078, 0, 0, 450, 80, 2728, 1602, 400, 1454, 1850, 3180, 2200, 1376, 2022, 2092, 2270, 0, 2116, 1962, 0, 880, 130, 2208, 1713, 2070, 120, 0, 260, 360, 330, 2769, 250, 1900, 3080, 720, 1504, 500, 100, 848, 0, 390, 0, 0, 1981, 440, 1389, 100, 0, 100, 313, 327, 375, 450, 4059, 1782, 3558, 0, 200, 960, 0, 588, 500, 200, 595, 0, 930, 428, 0, 1075, 1501, 0, 280, 0, 240, 1884, 657, 0, 958, 406, 862, 0, 1514, 0, 0, 110, 905, 0, 300, 300, 150, 0, 19690, 2483, 1872, 1064, 2166, 2172, 1829, 13996, 3939, 1980, 1142, 0, 830, 682, 1508, 1924, 2448, 210, 1800, 60, 270, 1538, 1404, 0, 1512, 60, 0, 40, 0, 580, 90, 710, 88, 8563, 0, 30, 0, 2556, 375, 2089, 355, 280, 4671, 162, 195, 405, 52, 0, 60, 2664, 690, 0, 790, 0, 1235, 0, 766, 150, 328, 0, 722, 432, 0, 350, 310, 290, 1757, 923, 0, 0, 0, 0, 669, 1495, 0, 883, 0, 214, 360, 777, 684, 1277, 0, 120, 10473, 100, 20, 600, 0, 110, 300, 1095, 701, 126, 396, 324, 660, 0, 2342, 0, 490, 546, 1101, 910, 330, 0, 100, 1812, 525, 1203, 1441, 1676, 0, 1131, 532, 535, 1175, 175, 0, 630, 50, 400, 198, 870, 910, 968, 2718, 1944, 3316, 700, 1676, 2806, 3131, 450, 2097, 60, 1186, 3214, 0, 1386, 2083, 1598, 1526, 853, 0, 1624, 1335, 970, 724, 650, 790, 2002, 85, 308, 432, 430, 470, 860, 491, 970, 490, 111, 290, 1904, 540, 0, 620, 950, 160, 0, 276, 2432, 100, 350, 1000, 300, 274, 50, 0, 814, 351, 180, 340, 1824, 2051, 2477, 1696, 711, 1284, 1063, 515, 480, 1242, 1000, 550, 200, 2977, 549, 2632, 0, 2162, 50, 0, 105, 2902, 1963, 3026, 2636, 2477, 2484, 2595, 2285, 0, 536, 490, 0, 2844, 720, 1375, 1458, 962, 1405, 0, 0, 1765, 0, 34, 1678, 114, 50, 685, 0, 0, 918, 420, 0, 638, 0, 500, 450, 865, 0, 0, 1555, 176, 300, 100, 0, 12, 410, 1905, 2668, 751, 673, 2702, 2070, 3283, 306, 1110, 490, 1434, 0, 180, 1651, 1852, 213, 1317, 0, 1710, 0, 263, 2861, 90, 5119, 130, 468, 6875, 138, 840, 0, 230, 550, 0, 450, 274, 3825, 570, 1030, 0, 1452, 1415, 0, 948, 3318, 990, 0, 550, 50, 600, 3672, 4930, 890, 100, 0, 2615, 300, 1728, 0, 0, 0, 0, 1566, 100, 700, 40, 0, 32888, 856, 0, 400, 120, 300, 0, 1042, 1473, 730, 200, 260, 0, 0, 1379, 0, 70, 30, 1643, 1260, 1776, 2020, 1394, 1040, 1171, 0, 20, 0, 2612, 3006, 350, 3161, 800, 0, 1440, 2146, 2485, 1360, 1166, 1192, 982, 1575, 1958, 2796, 0, 1450, 2029, 1733, 816, 2782, 540, 150, 324, 2184, 680, 5664, 960, 1531, 1801, 2437, 2141, 3120, 1678, 0, 0, 1126, 1480, 48, 1915, 5666, 2125, 2364, 1180, 1947, 0, 756, 954, 630, 1054, 912, 182, 0, 2176, 1916, 5814, 500, 60, 3096, 35, 1608, 379, 92, 3030, 180, 3312, 1190, 2669, 2792, 3336, 0, 841, 424, 200, 100, 0, 765, 1529, 1059, 921, 0, 1946, 0, 700, 0, 0, 120, 0, 0, 0, 0, 0, 1271, 1122, 1402, 1066, 1396, 1335, 900, 900, 900, 794, 300, 300, 1911, 500, 907, 290, 3046, 1075, 0, 1690
#> $ books_supplies                <dbl> 1600, 1200, 1500, 1688, 1200, 1200, 1800, 1020, 1500, 1000, 1129, 1400, 1220, 1103, 800, 1000, 1715, 1046, 1137, 1410, 1200, 1200, 800, 1600, 1792, 1790, 1791, 1848, 1898, 1500, 1791, 1650, 1792, 1764, 1792, 1898, 1500, 1898, 1898, 1600, 1792, 1601, 1766, 1636, 1716, 1541, 1500, 1700, 1790, 1854, 1920, 1792, 1660, 1791, 1791, 1900, 1592, 1844, 1791, 1791, 1500, 1790, 1775, 1818, 1800, 1900, 1600, 1899, 1791, 1107, 1790, 1200, 1800, 1800, 1800, 1800, 1800, 1000, 1200, 1200, 1800, 1000, 1500, 1300, 850, 1150, 972, 1000, 800, 1200, 1000, 1400, 1300, 800, 1800, 800, 1600, 1275, 1040, 1500, 800, 1152, 1400, 1138, 1320, 1200, 1590, 1244, 1210, 1320, 2000, 930, 1200, 1500, 1030, 1250, 1720, 1200, 850, 1200, 1600, 1500, 1200, 1298, 1300, 1222, 1270, 1224, 800, 1400, 1500, 1200, 1006, 1400, 1200, 1500, 1600, 952, 1200, 1200, 1000, 1214, 1200, 1000, 1200, 1200, 1104, 150, 1000, 900, 1400, 1510, 942, 1500, 1500, 1200, 1000, 1350, 1200, 1000, 1400, 1620, 2400, 1000, 1500, 1200, 1200, 1200, 800, 1200, 1100, 840, 900, 1200, 1200, 1000, 1000, 1250, 1140, 1170, 1204, 1380, 1200, 1200, 950, 995, 950, 1280, 1200, 1560, 1200, 1000, 1080, 1500, 1080, 986, 856, 1490, 1000, 2547, 1000, 1000, 1000, 792, 1100, 1200, 1200, 1000, 1160, 1500, 1220, 1220, 1220, 1220, 1220, 1240, 1220, 1200, 1000, 1200, 1200, 800, 1600, 2200, 1400, 1200, 1220, 1250, 0, 1200, 2500, 1300, 1300, 1200, 1000, 1000, 1100, 1260, 1250, 1000, 1000, 800, 1500, 800, 1150, 1000, 1200, 1000, 800, 1000, 1200, 1280, 1000, 1200, 1200, 1240, 1000, 1368, 1100, 1000, 904, 880, 1000, 1200, 1000, 1453, 1048, 1076, 1300, 1000, 764, 1350, 1000, 800, 1196, 948, 1200, 1186, 2000, 480, 1500, 1000, 600, 1200, 1300, 1000, 1000, 1200, 1200, 1556, 1200, 1000, 2300, 1200, 1400, 1100, 1200, 1200, 3300, 1040, 1000, 1200, 1000, 1000, 1200, 1200, 400, 1800, 1485, 1200, 502, 1100, 980, 1000, 1200, 1400, 1350, 1600, 1080, 1012, 1040, 1120, 1298, 1300, 1200, 1000, 1200, 1337, 1400, 2100, 1200, 1230, 1300, 1350, 1600, 1200, 1384, 1234, 1300, 2600, 1569, 1500, 1350, 1000, 1200, 1597, 1698, 1600, 950, 1100, 1080, 1298, 1200, 1466, 1020, 1300, 1000, 1416, 1000, 1400, 910, 1364, 1364, 1364, 1200, 1500, 1012, 1000, 1500, 1300, 1300, 2000, 1200, 1000, 1524, 1470, 1200, 1185, 1589, 1070, 1104, 1000, 800, 1100, 1050, 1200, 800, 1200, 1000, 1100, 615, 1200, 1000, 1196, 900, 1037, 1600, 800, 1528, 1500, 1440, 778, 1400, 822, 700, 1600, 1280, 900, 400, 1300, 1160, 1200, 1400, 1442, 1200, 956, 1500, 1082, 1104, 1505, 1500, 1200, 1400, 1400, 2151, 1222, 1100, 1000, 800, 1000, 912, 1582, 1010, 1550, 1200, 1500, 800, 1000, 1240, 1000, 1200, 1100, 1320, 1200, 1216, 1400, 1200, 1100, 1234, 1030, 2000, 1150, 1216, 1200, 1104, 1248, 1000, 1100, 900, 1200, 1600, 1260, 1260, 1500, 714, 1000, 1218, 1200, 1425, 950, 900, 1551, 1122, 1050, 2090, 864, 999, 1144, 1500, 1200, 1200, 1000, 1020, 1000, 1000, 1000, 1700, 1400, 1200, 1066, 900, 1200, 1080, 1100, 1000, 1100, 1000, 1597, 1000, 1488, 1840, 1280, 1200, 1500, 2000, 1300, 1200, 1200, 1550, 1000, 1100, 1500, 1200, 1300, 1500, 1200, 1300, 1500, 940, 1200, 1400, 2000, 1400, 1060, 1159, 1308, 2200, 1023, 1160, 1000, 950, 1200, 1550, 1400, 1600, 1000, 1400, 1500, 1090, 1420, 1200, 1400, 1415, 1540, 1400, 1598, 1400, 2300, 2300, 1471, 1250, 1250, 1200, 1444, 1274, 868, 1260, 1200, 1400, 1400, 1000, 1064, 1210, 1200, 1300, 1200, 1000, 1456, 1550, 1300, 1350, 1000, 1200, 1300, 800, 1050, 1094, 1000, 1300, 800, 1298, 1192, 820, 1200, 1344, 1054, 1206, 662, 1200, 1216, 1292, 1050, 1000, 1524, 1200, 1050, 1650, 1000, 812, 1600, 810, 976, 1232, 1200, 1000, 1000, 1500, 1200, 1350, 1000, 1000, 1200, 1100, 990, 1771, 1000, 1200, 1000, 1000, 1500, 1210, 2804, 1294, 1000, 900, 1092, 1000, 825, 1000, 1500, 960, 825, 906, 840, 1000, 900, 625, 700, 1078, 1600, 800, 950, 800, 1008, 1000, 400, 1000, 800, 500, 370, 1200, 1700, 1700, 1700, 1220, 1400, 1800, 1764, 1600, 1339, 200, 1200, 1898, 1046, 2000
#> $ roomboard_off                 <dbl> 8830, 11682, 9600, 9603, 13050, 12898, 8000, 8980, 7284, 9850, 5815, 12080, 15060, 9216, 11300, 9262, 9406, 10332, 8910, 12634, 7054, 6756, 2500, 6915, 12494, 12370, 12492, 12507, 13780, 10900, 13770, 12588, 11360, 12888, 12492, 13882, 13884, 12910, 13882, 11358, 12492, 8606, 9814, 10667, 9008, 10131, 12268, 12400, 4968, 13293, 13200, 13500, 12638, 12492, 12492, 12298, 11104, 12916, 12492, 12492, 14330, 12492, 12492, 12050, 12492, 13882, 13990, 13882, 12492, 12240, 13882, 14348, 12492, 9693, 11205, 10400, 11788, 8910, 9693, 12021, 9694, 12265, 8520, 10503, 12436, 13860, 11986, 11468, 13850, 10462, 10750, 9698, 11884, 12068, 6000, 15698, 13040, 12500, 11440, 11400, 11608, 9764, 10826, 9636, 11364, 13610, 11837, 10680, 9910, 16740, 8544, 16490, 9934, 19125, 8776, 11530, 11680, 9700, 13997, 12326, 3500, 6500, 9354, 10622, 9684, 11750, 9030, 13486, 13640, 7672, 13150, 9800, 8032, 8540, 9258, 6849, 12478, 13030, 17362, 8974, 8280, 8354, 8350, 3858, 10010, 5850, 13387, 9546, 5500, 10868, 10882, 10260, 8082, 8000, 7000, 11500, 7500, 15300, 8565, 8980, 10776, 15489, 6588, 12660, 6111, 7750, 8600, 16699, 7200, 7206, 10186, 9211, 9580, 6000, 4000, 12947, 8000, 6812, 9920, 9696, 7170, 7010, 7400, 8900, 9060, 8356, 8588, 5440, 9470, 8120, 7970, 8392, 7710, 7590, 9610, 11169, 7662, 10881, 7025, 5955, 6296, 10252, 10575, 11820, 3600, 6750, 8400, 7713, 15772, 6516, 9074, 9073, 9074, 9073, 9072, 9714, 9073, 13844, 10164, 7200, 9980, 6500, 14200, 13114, 6000, 11240, 10255, 7870, 15430, 13966, 11876, 7500, 11352, 4630, 6012, 11660, 3500, 15130, 10200, 14870, 11330, 12200, 8000, 8450, 8881, 6380, 5150, 11897, 9200, 15050, 10310, 14500, 11890, 10000, 14882, 9730, 13410, 5400, 10464, 7346, 6324, 9514, 7400, 7780, 8810, 10107, 10872, 9784, 8064, 8706, 6252, 9185, 10040, 9270, 9134, 9561, 17358, 6600, 8500, 9894, 9610, 9377, 4120, 8230, 7700, 8700, 9010, 7686, 8460, 9356, 9000, 7374, 6100, 10002, 7394, 9812, 9418, 10000, 5900, 9488, 8350, 6290, 5104, 7998, 9000, 6521, 8558, 6400, 10125, 10640, 8508, 8288, 15596, 9516, 2050, 8826, 10350, 7164, 8648, 9774, 8354, 7110, 9190, 10558, 12200, 11700, 9514, 9708, 9990, 13500, 10894, 10575, 13000, 9882, 9475, 12446, 10973, 8967, 10964, 10300, 10849, 9600, 17934, 7500, 14350, 11942, 5670, 10800, 7496, 9108, 9472, 8944, 12800, 8224, 9720, 12196, 8000, 9892, 9600, 17010, 13900, 13713, 13713, 13713, 11570, 10000, 11924, 17315, 14400, 10230, 12970, 25000, 15010, 13250, 8096, 9436, 9900, 13380, 13000, 17578, 15558, 9300, 18312, 7222, 12500, 7000, 11463, 12356, 6500, 11740, 12450, 9750, 8090, 11241, 12900, 12982, 12000, 13390, 11600, 11948, 15217, 12865, 10036, 13260, 8380, 10760, 9241, 11495, 8070, 5400, 11600, 6244, 7153, 12218, 9823, 8744, 9636, 10635, 8624, 8208, 10700, 7300, 13404, 7000, 10100, 7292, 8264, 7856, 8136, 12342, 5500, 8882, 7446, 11000, 14298, 12102, 12000, 12680, 5795, 11250, 10720, 6176, 7760, 6300, 12454, 4150, 9000, 6360, 11706, 12268, 10200, 7514, 11508, 6450, 8538, 11376, 11730, 8990, 8136, 5400, 9772, 6378, 8840, 9814, 10280, 5544, 5112, 11338, 8930, 10528, 8650, 11874, 9807, 11822, 12200, 7556, 9699, 8998, 5100, 8912, 10000, 10524, 10784, 11042, 11146, 13328, 14367, 11760, 7200, 11990, 4000, 12000, 10062, 12044, 7500, 7100, 12690, 9268, 10000, 12858, 11230, 14536, 3150, 12880, 11000, 9400, 9212, 9504, 8080, 12336, 13093, 7090, 12860, 8190, 8618, 10460, 9000, 6700, 13650, 9586, 10450, 9990, 9050, 5905, 10897, 9144, 9892, 10540, 7928, 7464, 8630, 8008, 9711, 11330, 7508, 8700, 7690, 9980, 7952, 5090, 7880, 5000, 9153, 8246, 9100, 10238, 7996, 6610, 8750, 8500, 9400, 9310, 8216, 10576, 7204, 9114, 10692, 8500, 9532, 7780, 8973, 9704, 8720, 7996, 11067, 10794, 7550, 6910, 10332, 7590, 8012, 7960, 7872, 7355, 13750, 11112, 10090, 8720, 4000, 8700, 13694, 8868, 7260, 9710, 7466, 10368, 8410, 10070, 10190, 9496, 9970, 12000, 9558, 12974, 9081, 6885, 11000, 8582, 7448, 7500, 7880, 5960, 9936, 8000, 7904, 10576, 12920, 10000, 11382, 7965, 8000, 12186, 11700, 9334, 8046, 10120, 11118, 13430, 10864, 9990, 8720, 11280, 10726, 9648, 10941, 11158, 7800, 10330, 9100, 11499, 11356, 14625, 10524, 9585, 8426, 8340, 7850, 6517, 6718, 10280, 8370, 5664, 3750, 12160, 8510, 7538, 7600, 10030, 7350, 7600, 10320, 8000, 8000, 8000, 9460, 8936, 11104, 12826, 11448, 15450, 6000, 9672, 13882, 17654, 13128
#> $ oth_expense_off               <dbl> 3090, 4886, 1600, 3578, 4116, 5664, 4700, 3180, 2800, 5498, 5227, 4250, 4160, 4708, 5200, 5070, 5213, 4104, 5202, 4766, 5471, 2414, 2850, 6939, 4158, 4158, 4258, 2646, 2924, 2516, 2658, 2716, 2478, 2870, 2658, 2924, 2706, 2934, 2924, 2182, 2658, 5665, 5383, 5140, 5317, 5621, 4100, 4340, 4286, 4239, 4610, 4292, 2444, 4258, 4536, 5382, 3696, 4914, 4245, 4158, 2500, 4158, 4156, 3296, 4158, 2966, 3800, 2925, 4158, 3170, 2924, 1880, 4158, 2763, 5193, 4600, 2294, 1600, 1360, 2634, 3272, 6776, 10208, 3671, 2650, 1730, 2806, 2760, 2500, 3150, 2644, 3972, 2920, 1500, 1800, 921, 5500, 1900, 2660, 7700, 5783, 4970, 4458, 6313, 5718, 3000, 5354, 1626, 3750, 3524, 7272, 3062, 3834, 8010, 5678, 6170, 2552, 4100, 8448, 3000, 2400, 3630, 2100, 3860, 4500, 2500, 4460, 2416, 3260, 6044, 5303, 5654, 3952, 2890, 4994, 6195, 2245, 2899, 2220, 4030, 5921, 3840, 3440, 3520, 2240, 1700, 2364, 2067, 4000, 7000, 3628, 4230, 5538, 2000, 2504, 1600, 3250, 5940, 6261, 2100, 2584, 2532, 6489, 1000, 4479, 3900, 7700, 1450, 4120, 3106, 2941, 2768, 3570, 2800, 1600, 2550, 3200, 6512, 3082, 2308, 3798, 2692, 3000, 1620, 3790, 2430, 3420, 6434, 5924, 2872, 4880, 3470, 3836, 4422, 3070, 3190, 3860, 3122, 4252, 1906, 6341, 3581, 4769, 5432, 6150, 5500, 6700, 3307, 5420, 4635, 3918, 3919, 3992, 3919, 3916, 3971, 3919, 1060, 2200, 2700, 3000, 2600, 4150, 1600, 3706, 3100, 1044, 1670, 5850, 3932, 4045, 2300, 2700, 3290, 2000, 1800, 2400, 1200, 1700, 1950, 1500, 2800, 2700, 1050, 2422, 2200, 1922, 1400, 2956, 1800, 3402, 2550, 2000, 2072, 3075, 3300, 1200, 3200, 4400, 938, 3452, 5448, 2578, 6614, 2890, 4248, 2454, 2368, 3364, 3910, 4464, 3246, 1556, 1756, 5754, 2366, 2500, 4864, 2000, 1200, 8186, 2200, 4000, 2700, 2390, 2746, 2350, 3156, 3060, 6712, 2600, 4200, 5100, 4660, 4400, 4060, 5184, 3570, 6085, 2984, 2400, 3200, 4152, 6338, 4300, 3409, 2575, 3246, 4216, 3448, 4482, 4034, 3408, 8104, 3200, 3757, 2700, 4824, 3630, 3870, 3262, 2772, 5682, 4500, 3100, 2250, 8206, 2245, 5722, 3800, 4121, 2856, 1780, 6600, 3681, 4500, 3550, 3926, 5576, 5400, 6282, 2030, 3013, 2900, 1050, 3983, 375, 5400, 4498, 3912, 5154, 3764, 2650, 5080, 7208, 1950, 1500, 2446, 3096, 4860, 1850, 5302, 5302, 5302, 3000, 3650, 2748, 3096, 1850, 3660, 1400, 2500, 2000, 2425, 3348, 9804, 2100, 1100, 2010, 2000, 4452, 5990, 2920, 3450, 976, 3275, 1400, 2460, 4000, 1400, 2062, 2086, 2632, 3505, 5336, 3332, 2800, 1600, 2284, 3600, 1665, 4666, 2808, 2313, 3286, 4000, 3644, 2600, 2426, 2600, 2850, 2460, 4220, 3404, 3496, 2536, 4667, 2442, 4604, 3296, 2000, 3472, 2400, 2774, 2516, 2490, 3500, 3422, 3400, 3152, 3728, 5122, 4790, 4948, 1900, 5666, 3470, 1750, 1230, 3000, 3582, 3530, 2730, 3700, 2014, 4500, 1800, 5194, 2870, 2706, 1500, 5358, 1200, 4550, 2532, 2784, 2000, 3635, 3890, 2000, 8546, 5496, 4650, 4260, 5433, 3760, 6210, 4524, 2955, 2120, 2520, 2550, 2349, 1680, 3700, 1774, 3252, 2210, 3600, 3140, 1700, 4350, 2082, 3500, 3596, 1800, 4278, 2200, 1125, 2510, 1150, 4750, 1328, 2288, 1000, 2500, 1065, 5783, 1700, 2470, 4788, 2060, 2100, 1518, 6000, 1868, 3000, 3258, 3604, 5934, 2300, 1410, 2520, 2358, 3000, 2500, 3200, 2409, 1600, 3785, 2300, 3770, 3600, 2100, 3977, 3502, 4314, 4111, 4184, 3000, 3935, 5441, 4538, 4750, 3204, 2716, 6440, 3250, 5700, 6606, 5150, 6130, 4512, 4162, 3600, 5666, 5518, 3420, 6000, 3649, 8010, 3350, 3480, 4430, 3140, 3241, 4968, 3200, 2037, 3938, 5534, 6900, 6918, 4178, 5508, 3416, 4300, 2572, 3136, 3030, 1830, 4376, 3300, 2556, 2050, 2460, 4762, 3796, 3000, 2600, 4764, 3454, 3910, 4118, 4768, 5820, 4512, 4310, 4180, 4292, 4044, 4700, 4666, 4866, 4420, 3708, 4256, 4854, 4500, 4800, 3770, 3434, 3678, 5052, 4410, 2174, 2700, 2302, 2025, 3300, 1800, 4908, 4500, 4150, 6274, 770, 2892, 3734, 2975, 2600, 2980, 3120, 2754, 2000, 3180, 3330, 3960, 2703, 3000, 4170, 3542, 3561, 3495, 3180, 3400, 2620, 4065, 5332, 4790, 2800, 3310, 4896, 3520, 4840, 2500, 3150, 2700, 3306, 3300, 4830, 3040, 4800, 4800, 4800, 1780, 2236, 3816, 2668, 4401, 2925, 1000, 3400, 2924, 3282, 1800
#> $ tuitfee_grad_res              <dbl> 9366, 7588, 13090, 10342, 10470, 10696, 10380, 10576, 6824, 19140, 7948, 9821, 12110, 11506, 12383, 9407, 9284, 8350, 5918, 5958, 5881, 16178, 13152, 5940, 16444, 12140, 17650, 10341, 8123, 7994, 7876, 8333, 8306, 7689, 7579, 7826, 7830, 7726, 7649, 7853, 8166, 13237, 13064, 12683, 13338, 13085, 27266, 8150, 17022, 14980, 17635, 18032, 8475, 13500, 13818, 10587, 11232, 15776, 17332, 44448, 31420, 10980, 20272, 8350, 25824, 7750, 23360, 8684, 27594, 36657, 8654, 42305, 35080, 6898, 8452, 9983, 12610, 13407, 11716, 45591, 11250, 20904, 17450, 10956, 15996, 16712, 12570, 15860, 18450, 20745, 13650, 11219, 11298, 31752, 8240, 29112, 17626, 28845, 13410, 17820, 13150, 8872, 17590, 9876, 6657, 22588, 11097, 16925, 12737, 13320, 23164, 35216, 10367, 19175, 11155, 18996, 9630, 10428, 14076, 16768, 12719, 10664, 9062, 5004, 12136, 6966, 7556, 42980, 15652, 4706, 7209, 8728, 10762, 8910, 6490, 5958, 18600, 16168, 17320, 8440, 8502, 8530, 8971, 10800, 15560, 14688, 19290, 9705, 29980, 9268, 16343, 17888, 8970, 30284, 14410, 19442, 9662, 11352, 15372, 12906, 13839, 50864, 7797, 14945, 24750, 12880, 19309, 18320, 13677, 15550, 14583, 7954, 11325, 11663, 6950, 12420, 7872, 36080, 8997, 7328, 7243, 13000, 17333, 11498, 11700, 9549, 10357, 6996, 16300, 17964, 10230, 7806, 4055, 10068, 10438, 9712, 10532, 12000, 7732, 10764, 10085, 8360, 6078, 10950, 12204, 5970, 6702, 11400, 11887, 9076, 7575, 8298, 7852, 8662, 8369, 9332, 9450, 51010, 8666, 8460, 7670, 25150, 14648, 9106, 9540, 8310, 52210, 15900, 8514, 13256, 8478, 12167, 8370, 14166, 10530, 11650, 22420, 34380, 27306, 49886, 48595, 10238, 13736, 42830, 14793, 5742, 14679, 15613, 17218, 22913, 7191, 20718, 29835, 15399, 32385, 24120, 25404, 5364, 25818, 12232, 13732, 27666, 16355, 13712, 13486, 19266, 21794, 16764, 12022, 10391, 16338, 13219, 11020, 7217, 16503, 14235, 12778, 9630, 8550, 8532, 7854, 17735, 8820, 8256, 8100, 24600, 14436, 7662, 7404, 6546, 10080, 6418, 7261, 7744, 6878, 10806, 7780, 7659, 8700, 8670, 7384, 8622, 7596, 12978, 16332, 9405, 6893, 8025, 15520, 19896, 7408, 5554, 49280, 12690, 8500, 5893, 10335, 4803, 6090, 8810, 14038, 4731, 5500, 5287, 17175, 13735, 18810, 9738, 9860, 17120, 15858, 22434, 18910, 16070, 15678, 12140, 16472, 24856, 12140, 21814, 17676, 22689, 18633, 19536, 34514, 13900, 12024, 12384, 6017, 6016, 9306, 4941, 14376, 4650, 38958, 33487, 15034, 29936, 27250, 45554, 29585, 10438, 10562, 10560, 16850, 16484, 32651, 23290, 19606, 27198, 13826, 30176, 18045, 14040, 15776, 20120, 13660, 13230, 42886, 42368, 21970, 10700, 29680, 13782, 42078, 12290, 13194, 15196, 16533, 16110, 16228, 12694, 12921, 13347, 12566, 11581, 12154, 11933, 11385, 11350, 35874, 17200, 18033, 20000, 7721, 11875, 7288, 12654, 5533, 7772, 9900, 13875, 7447, 11606, 7278, 7753, 7124, 10572, 7043, 5924, 11520, 11730, 38010, 9450, 7192, 12820, 8240, 8643, 6532, 9136, 5713, 12697, 9397, 11250, 42610, 14468, 9679, 16070, 15085, 16008, 11090, 12267, 10620, 10260, 13528, 8964, 11325, 11070, 12425, 9510, 12600, 14721, 18812, 19236, 12070, 13474, 10920, 8902, 11175, 23440, 6794, 4572, 7735, 15804, 8169, 4770, 6426, 22720, 12196, 15504, 15180, 13801, 16243, 30634, 14565, 17496, 16002, 19560, 13403, 14165, 11610, 15508, 16391, 16722, 16688, 7962, 33024, 22212, 16430, 17920, 11934, 12222, 13522, 14515, 23590, 44350, 25560, 11420, 10715, 12060, 20912, 35604, 16848, 12240, 25550, 11402, 13272, 14976, 15363, 16676, 18017, 15840, 13991, 25100, 24096, 13260, 26832, 11826, 8880, 13362, 9280, 8242, 3790, 15075, 12984, 9682, 7650, 12798, 13440, 14612, 6840, 8558, 9773, 20890, 8780, 22860, 5700, 18576, 9371, 9024, 11446, 18986, 10463, 9234, 9876, 12834, 9896, 9420, 10371, 6426, 6890, 19890, 6395, 31500, 12590, 6300, 16208, 30200, 5059, 5776, 18966, 8434, 7768, 6990, 8938, 17505, 8006, 5717, 20115, 16390, 5878, 7183, 16206, 7144, 36252, 25242, 21258, 7323, 16250, 46560, 11310, 6427, 7968, 6109, 5369, 8904, 8819, 11300, 12418, 5623, 6376, 26688, 7101, 6718, 7525, 6886, 11800, 6349, 6680, 8036, 6277, 7822, 7527, 8589, 13594, 14436, 19249, 17012, 14258, 13226, 13775, 13724, 10811, 10752, 8430, 8912, 9618, 17100, 11480, 21494, 14532, 13143, 17680, 13914, 11794, 16881, 18402, 25481, 13800, 20118, 12753, 16266, 10503, 11952, 7504, 9000, 10876, 12015, 10539, 10290, 16164, 10305, 4860, 19350, 7936, 8911, 8762, 11789, 8706, 9036, 5673, 3552, 3552, 3552, 10002, 10992, 11460, 8649, 12380, 7645, 6790, 8961, 7813, 9000, 6834
#> $ tuitfee_grad_nres             <dbl> 17496, 17294, 13090, 22338, 26950, 28840, 10380, 21232, 12422, 19140, 15094, 18960, 12110, 24176, 32135, 18294, 19004, 19813, 10544, 10890, 10475, 16178, 13152, 8370, 16444, 12140, 17650, 19269, 17051, 16922, 16804, 17261, 17234, 16617, 16507, 16754, 16758, 16654, 16577, 16781, 17094, 28339, 28166, 27785, 28440, 28187, 27266, 8150, 17022, 14980, 17635, 18032, 17403, 13500, 13818, 10587, 11232, 15776, 17332, 44448, 31420, 10980, 20272, 17278, 25824, 16678, 23360, 17612, 27594, 36657, 17582, 42305, 35080, 12820, 24112, 20153, 30430, 13407, 25692, 45591, 11250, 20904, 17450, 23756, 37032, 16712, 12570, 15860, 18450, 20745, 13650, 24019, 24098, 31752, 8240, 29112, 17626, 28845, 13410, 17820, 13150, 28657, 17590, 24669, 18446, 22588, 24202, 16925, 30130, 13320, 23164, 35216, 21933, 19175, 11155, 18996, 9630, 21126, 14076, 16768, 12719, 10664, 24894, 15192, 12136, 14961, 13802, 42980, 30072, 14624, 20508, 28610, 26360, 8910, 17866, 17460, 18600, 37648, 17320, 22890, 22583, 23338, 8971, 10800, 15560, 14688, 19290, 19425, 29980, 16636, 25297, 17888, 16542, 30284, 14410, 19442, 9662, 11352, 15372, 12906, 22407, 50864, 14205, 14945, 24750, 12880, 19309, 18320, 13677, 15550, 30369, 12938, 15209, 11663, 6950, 12420, 7872, 36080, 17191, 14186, 16256, 13000, 17333, 11498, 11700, 22861, 27961, 6996, 16300, 17964, 10230, 20298, 10333, 10068, 23134, 9712, 22690, 12000, 17816, 10764, 10085, 16896, 13609, 10950, 12204, 5970, 6702, 16320, 28822, 21961, 18650, 21737, 18783, 20762, 20846, 19332, 23178, 51010, 25640, 8460, 19298, 25150, 20570, 14308, 11556, 8310, 52210, 15900, 12132, 26810, 15264, 12167, 13572, 14166, 10530, 11650, 22420, 34380, 27306, 49886, 48595, 10238, 13736, 42830, 14793, 5742, 26228, 31733, 33268, 22913, 8811, 20718, 29835, 27473, 32385, 24120, 25404, 5364, 25818, 18216, 13732, 27666, 29075, 13712, 13486, 19266, 43674, 32940, 20720, 15354, 24648, 24867, 11020, 7217, 33696, 29118, 12778, 9630, 8550, 8532, 15039, 26615, 8820, 12084, 8100, 24600, 14436, 7662, 10804, 6546, 10080, 6418, 17614, 22012, 6878, 10806, 20900, 16529, 8700, 8670, 14067, 8622, 7596, 12978, 16332, 9405, 11445, 8025, 15520, 19896, 12868, 10234, 49280, 12690, 8500, 20554, 10335, 8403, 14428, 22088, 14038, 8331, 19410, 19197, 17175, 13735, 18810, 11124, 9860, 17120, 15858, 22434, 18910, 16070, 15678, 19910, 21147, 24856, 17513, 30898, 17676, 22689, 30225, 19536, 34514, 19663, 12024, 19242, 11963, 9150, 24169, 15107, 14376, 10354, 38958, 33487, 15034, 29936, 27250, 45554, 29585, 19028, 19152, 19150, 16850, 16484, 32651, 23290, 19606, 27198, 13826, 30176, 18045, 14040, 15776, 20120, 13660, 13230, 42886, 42368, 21970, 10700, 29680, 13782, 42078, 12290, 13194, 15196, 16533, 16110, 16228, 24034, 24261, 24687, 23906, 22921, 23494, 23273, 22725, 22690, 35874, 17200, 18033, 20000, 20890, 11875, 20179, 12654, 16381, 7772, 9900, 13875, 19852, 28817, 20449, 21202, 19824, 25094, 19262, 16181, 11520, 11730, 38010, 9450, 17599, 12820, 8240, 20642, 15835, 14642, 5713, 12697, 15049, 11250, 42610, 26210, 16411, 16070, 15085, 16008, 19362, 12267, 10620, 10260, 30242, 8964, 11325, 11070, 32873, 17502, 12600, 25057, 18812, 19236, 12070, 22890, 10920, 13402, 11175, 23440, 15761, 9486, 22503, 15804, 22272, 10980, 12762, 22720, 14788, 15504, 15180, 23450, 26611, 30634, 22053, 17496, 19602, 19560, 13403, 20261, 11610, 22519, 16391, 16722, 24275, 7962, 33024, 22212, 16430, 17920, 11934, 12222, 13522, 21225, 23590, 44350, 25560, 19088, 10715, 12060, 35214, 35604, 16848, 12240, 25550, 11402, 13272, 21072, 22330, 22526, 18017, 15840, 20015, 25100, 24096, 13260, 26832, 11826, 8880, 25772, 9280, 8242, 3790, 15075, 32958, 19280, 7650, 27408, 24264, 27870, 6840, 15491, 23753, 20890, 8780, 22860, 5700, 18576, 23627, 9024, 11446, 18986, 19247, 23346, 25994, 31252, 15656, 21060, 24891, 6426, 6890, 19890, 13740, 31500, 12590, 14073, 16208, 30200, 13004, 13120, 18966, 17056, 14212, 14334, 18082, 17505, 15350, 13490, 20115, 16390, 7048, 14527, 16206, 15172, 36252, 25242, 21258, 14667, 16250, 46560, 11310, 13771, 16128, 13452, 12713, 19073, 17316, 21518, 24150, 13452, 13774, 26688, 22700, 13910, 14869, 14231, 11800, 7028, 6680, 23617, 19586, 18348, 23902, 17073, 13594, 14436, 19249, 40076, 30500, 13226, 13775, 32402, 10811, 28296, 8430, 8912, 18492, 17100, 28860, 21494, 27764, 25271, 28504, 13914, 26279, 16881, 18402, 25481, 13800, 20118, 26185, 28314, 20787, 11952, 16060, 23238, 10876, 12015, 10539, 10290, 16164, 10305, 4860, 19350, 7936, 18042, 17893, 24826, 17837, 18167, 14313, 3552, 3552, 3552, 28804, 10992, 11460, 17577, 12380, 16573, 6790, 31216, 16741, 9000, 19234
#> $ coa_grad_res                  <dbl> 22886, 25356, 25790, 25211, 28836, 30458, 24880, 23756, 18408, 35488, 20119, 27551, 32550, 26533, 29683, 24739, 25618, 23832, 21167, 24768, 19606, 26548, 19302, 21394, 34888, 30458, 36191, 27342, 26725, 22910, 26095, 25287, 23936, 25211, 24521, 26530, 25920, 25468, 26353, 22993, 25108, 29109, 30027, 30126, 29379, 30378, 45134, 26590, 28066, 34366, 37365, 37616, 25217, 32041, 32637, 30167, 27624, 35450, 35860, 62889, 49750, 29420, 38695, 25514, 44274, 26498, 42750, 27390, 46035, 53174, 27250, 59733, 53530, 21154, 26650, 26783, 28492, 24917, 23969, 61446, 26016, 40945, 37678, 26430, 31932, 33452, 28334, 31088, 35600, 35557, 28044, 26289, 27402, 46120, 17840, 46531, 37766, 44520, 28550, 38420, 31341, 24758, 34274, 26963, 25059, 40398, 29878, 30475, 27607, 34904, 40980, 55698, 25335, 47810, 26639, 37946, 25582, 25428, 37371, 33294, 20219, 22294, 21716, 20784, 27620, 22438, 22316, 60106, 33352, 19822, 27162, 25382, 23752, 21740, 21942, 20502, 34923, 33049, 38102, 22644, 23703, 21938, 21961, 19178, 29010, 23438, 36145, 21468, 40480, 28036, 32253, 33888, 23532, 41784, 25414, 33742, 21412, 33942, 31398, 24986, 28599, 70505, 23274, 29605, 36840, 25730, 36809, 37669, 25797, 27062, 28810, 20773, 25375, 21663, 13750, 28917, 20072, 50654, 23139, 20502, 19415, 24082, 28933, 23218, 25500, 21330, 23315, 20150, 32894, 30516, 24280, 20668, 16681, 23580, 24198, 25057, 22910, 27493, 20009, 21172, 23722, 23193, 22422, 28994, 23054, 19420, 23002, 23420, 34239, 21727, 21787, 22510, 22138, 22874, 22577, 24257, 23662, 67114, 22030, 19560, 21850, 35050, 34598, 26020, 20646, 23850, 64729, 26690, 29794, 32354, 26899, 23267, 23722, 23286, 19542, 26110, 29420, 51970, 40456, 67706, 62425, 26038, 25936, 53130, 27246, 15322, 22951, 29910, 30174, 40763, 22103, 39048, 44725, 28671, 51542, 38390, 41014, 15332, 41782, 21516, 24412, 43508, 27333, 29306, 26186, 35074, 36168, 29992, 24750, 24007, 27818, 27000, 23616, 19043, 32587, 27110, 33836, 22280, 21050, 20106, 27150, 30312, 17540, 20386, 19490, 37046, 26796, 19704, 20124, 24170, 22880, 18992, 20761, 23606, 20072, 25778, 23582, 22429, 23985, 22182, 19134, 19312, 17852, 28314, 30832, 20535, 18426, 19471, 31346, 35184, 20900, 18976, 69264, 31310, 14950, 19876, 24735, 18391, 19448, 23466, 26694, 15733, 21670, 21645, 33675, 28685, 37730, 23028, 26972, 36520, 32073, 37095, 34990, 33902, 30434, 30286, 32379, 38983, 29980, 40114, 36376, 35819, 40930, 30936, 51114, 31422, 19767, 30184, 18961, 20136, 25012, 18947, 31026, 19420, 56906, 48933, 25534, 43690, 40946, 68824, 46245, 30817, 30941, 30939, 32620, 31634, 48335, 44701, 37356, 42388, 29496, 59676, 36255, 30715, 28744, 40830, 26860, 28895, 59485, 63016, 43084, 26990, 51712, 25554, 56604, 23765, 26857, 31212, 28033, 30350, 31355, 25730, 24643, 29289, 31702, 28932, 28554, 27723, 26797, 28398, 54196, 35509, 32277, 36395, 20087, 28235, 21453, 27649, 16429, 17072, 25510, 23779, 20220, 28670, 21797, 19989, 22927, 24731, 21375, 18933, 25720, 23702, 55214, 20624, 21959, 23824, 21104, 20921, 18868, 25630, 15853, 28283, 22643, 28748, 60008, 33736, 25949, 31500, 23350, 31258, 26592, 23073, 22430, 21460, 29212, 19014, 23325, 23724, 28235, 25514, 26300, 28743, 32736, 31436, 24244, 28882, 25650, 22627, 24101, 32040, 26712, 17706, 22485, 31378, 24596, 15074, 18966, 39782, 25506, 29102, 27250, 29776, 29521, 45186, 32555, 27690, 29952, 31912, 23603, 27417, 24510, 31382, 30277, 32264, 32430, 24090, 53369, 37572, 25955, 33486, 17984, 30172, 25992, 29947, 33090, 55050, 40315, 28068, 23415, 28876, 38770, 53480, 23298, 28138, 44550, 23970, 26684, 28938, 28597, 35946, 34510, 25840, 30571, 36948, 37214, 27420, 40332, 22435, 25070, 27933, 23430, 24002, 17840, 24140, 29017, 23636, 24056, 28472, 26712, 26076, 20355, 23207, 25572, 38370, 21092, 35276, 21230, 33306, 24113, 22140, 25676, 31516, 25543, 23182, 23976, 30336, 24810, 21750, 27421, 20046, 25550, 33800, 19291, 47950, 24208, 19523, 33128, 43100, 18028, 18894, 34473, 26102, 24616, 20364, 26813, 32915, 20856, 16655, 35133, 28310, 17070, 20519, 28578, 18355, 52852, 39864, 37204, 20839, 24550, 58660, 31066, 19941, 19958, 21137, 18947, 26146, 22947, 26342, 27988, 20627, 21682, 44438, 22325, 26082, 22226, 18529, 28706, 20785, 19440, 21936, 18737, 18192, 22373, 22841, 26908, 28186, 36369, 30514, 29015, 25491, 24575, 32018, 28111, 25226, 24521, 20802, 24828, 35264, 26319, 35584, 27442, 30347, 32454, 26562, 26815, 32461, 31162, 39339, 26900, 37287, 28611, 35277, 25428, 25557, 20330, 20860, 23416, 24564, 23125, 24970, 28644, 21815, 12930, 37358, 19946, 19999, 20062, 25925, 19856, 21836, 20233, 18052, 18052, 18052, 22462, 23564, 28180, 25907, 29829, 27359, 13990, 23233, 26517, 30982, 23762
#> $ coa_grad_nres                 <dbl> 31016, 35062, 25790, 37207, 45316, 48602, 24880, 34412, 24006, 35488, 27265, 36690, 32550, 39203, 49435, 33626, 35338, 35295, 25793, 29700, 24200, 26548, 19302, 23824, 34888, 30458, 36191, 36270, 35653, 31838, 35023, 34215, 32864, 34139, 33449, 35458, 34848, 34396, 35281, 31921, 34036, 44211, 45129, 45228, 44481, 45480, 45134, 26590, 28066, 34366, 37365, 37616, 34145, 32041, 32637, 30167, 27624, 35450, 35860, 62889, 49750, 29420, 38695, 34442, 44274, 35426, 42750, 36318, 46035, 53174, 36178, 59733, 53530, 27076, 42310, 36953, 46312, 24917, 37945, 61446, 26016, 40945, 37678, 39230, 52968, 33452, 28334, 31088, 35600, 35557, 28044, 39089, 40202, 46120, 17840, 46531, 37766, 44520, 28550, 38420, 31341, 44543, 34274, 41756, 36848, 40398, 42983, 30475, 45000, 34904, 40980, 55698, 36901, 47810, 26639, 37946, 25582, 36126, 37371, 33294, 20219, 22294, 37548, 30972, 27620, 30433, 28562, 60106, 47772, 29740, 40461, 45264, 39350, 21740, 33318, 32004, 34923, 54529, 38102, 37094, 37784, 36746, 21961, 19178, 29010, 23438, 36145, 31188, 40480, 35404, 41207, 33888, 31104, 41784, 25414, 33742, 21412, 33942, 31398, 24986, 37167, 70505, 29682, 29605, 36840, 25730, 36809, 37669, 25797, 27062, 44596, 25757, 29259, 21663, 13750, 28917, 20072, 50654, 31333, 27360, 28428, 24082, 28933, 23218, 25500, 34642, 40919, 20150, 32894, 30516, 24280, 33160, 22959, 23580, 36894, 25057, 35068, 27493, 30093, 21172, 23722, 31729, 29953, 28994, 23054, 19420, 23002, 28340, 51174, 34612, 32862, 35949, 33069, 34974, 35054, 34257, 37390, 67114, 39004, 19560, 33478, 35050, 40520, 31222, 22662, 23850, 64729, 26690, 33412, 45908, 33685, 23267, 28924, 23286, 19542, 26110, 29420, 51970, 40456, 67706, 62425, 26038, 25936, 53130, 27246, 15322, 34500, 46030, 46224, 40763, 23723, 39048, 44725, 40745, 51542, 38390, 41014, 15332, 41782, 27500, 24412, 43508, 40053, 29306, 26186, 35074, 58048, 46168, 33448, 28970, 36128, 38648, 23616, 19043, 49780, 41993, 33836, 22280, 21050, 20106, 34335, 39192, 17540, 24214, 19490, 37046, 26796, 19704, 23524, 24170, 22880, 18992, 31114, 37874, 20072, 25778, 36702, 31299, 23985, 22182, 25817, 19312, 17852, 28314, 30832, 20535, 22978, 19471, 31346, 35184, 26360, 23656, 69264, 31310, 14950, 34537, 24735, 21991, 27786, 36744, 26694, 19333, 35580, 35555, 33675, 28685, 37730, 24414, 26972, 36520, 32073, 37095, 34990, 33902, 30434, 38056, 37054, 38983, 35353, 49198, 36376, 35819, 52522, 30936, 51114, 37185, 19767, 37042, 24907, 23270, 39875, 29113, 31026, 25124, 56906, 48933, 25534, 43690, 40946, 68824, 46245, 39407, 39531, 39529, 32620, 31634, 48335, 44701, 37356, 42388, 29496, 59676, 36255, 30715, 28744, 40830, 26860, 28895, 59485, 63016, 43084, 26990, 51712, 25554, 56604, 23765, 26857, 31212, 28033, 30350, 31355, 37070, 35983, 40629, 43042, 40272, 39894, 39063, 38137, 39738, 54196, 35509, 32277, 36395, 33256, 28235, 34344, 27649, 27277, 17072, 25510, 23779, 32625, 45881, 34968, 33438, 35627, 39253, 33594, 29190, 25720, 23702, 55214, 20624, 32366, 23824, 21104, 32920, 28171, 31136, 15853, 28283, 28295, 28748, 60008, 45478, 32681, 31500, 23350, 31258, 34864, 23073, 22430, 21460, 45926, 19014, 23325, 23724, 48683, 33506, 26300, 39079, 32736, 31436, 24244, 38298, 25650, 27127, 24101, 32040, 35679, 22620, 37253, 31378, 38699, 21284, 25302, 39782, 28098, 29102, 27250, 39425, 39889, 45186, 40043, 27690, 33552, 31912, 23603, 33513, 24510, 38393, 30277, 32264, 40017, 24090, 53369, 37572, 25955, 33486, 17984, 30172, 25992, 36657, 33090, 55050, 40315, 35736, 23415, 28876, 53072, 53480, 23298, 28138, 44550, 23970, 26684, 35034, 35564, 41796, 34510, 25840, 36595, 36948, 37214, 27420, 40332, 22435, 25070, 40343, 23430, 24002, 17840, 24140, 48991, 33234, 24056, 43082, 37536, 39334, 20355, 30140, 39552, 38370, 21092, 35276, 21230, 33306, 38369, 22140, 25676, 31516, 34327, 37294, 40094, 48754, 30570, 33390, 41941, 20046, 25550, 33800, 26636, 47950, 24208, 27296, 33128, 43100, 25973, 26238, 34473, 34724, 31060, 27708, 35957, 32915, 28200, 24428, 35133, 28310, 18240, 27863, 28578, 26383, 52852, 39864, 37204, 28183, 24550, 58660, 31066, 27285, 28118, 28480, 26291, 36315, 31444, 36560, 39720, 28456, 29080, 44438, 37924, 33274, 29570, 25874, 28706, 21464, 19440, 37517, 32046, 28718, 38748, 31325, 26908, 28186, 36369, 53578, 45257, 25491, 24575, 50696, 28111, 42770, 24521, 20802, 33702, 35264, 43699, 35584, 40674, 42475, 43278, 26562, 41300, 32461, 31162, 39339, 26900, 37287, 42043, 47325, 35712, 25557, 28886, 35098, 23416, 24564, 23125, 24970, 28644, 21815, 12930, 37358, 19946, 29130, 29193, 38962, 28987, 30967, 28873, 18052, 18052, 18052, 41264, 23564, 28180, 34835, 29829, 36287, 13990, 45488, 35445, 30982, 36162

8.1 Attributes

Consider Variables within data frames (e.g., df_mba$coa_grad_res). With respect to their underlying data structure, variables are “atomic vectors”

• I think of atomic vectors as “just the data”
• we can use the base R function type to investigate the underlying data structure of an object

# variable df_mba$coa_grad_res has "double" type, which refers to a numeric atomic vactor
typeof(df_mba$coa_grad_res)
#> [1] "double"

# variable df_mba$city has "character" type, which refers to a character atomic vector
typeof(df_mba$city)
#> [1] "character"

Augmented vectors

• Augmented vectors are atomic vectors with additional attributes attached

Attributes

• Attributes are additional “metadata” that can be attached to any object (e.g., atomic vector, list)
• examples of attributes include:
  • variable labels
  • value labels attached to the value of each variable

Functions to identify and modify attributes

• attributes() function to describe all attributes of an object
  • syntax: attributes(x)
  • where:
    • x: any R object
• attr() to see individual attribute of an object or set/change an individual attribute of an object
  • syntax (for getting attributes): attr(x, which, exact = FALSE)
  • syntax (for setting attributes): attr(x, which) <- value
  • where:
    • x: an object whose attributes are to be accessed.
    • which: a non-empty character string specifying which attribute is to be accessed.
    • exact: logical: should which be matched exactly? [Default is FALSE]
    • value: an object, the new value of the attribute, or NULL to remove the attribute.

Let’s investigate attributes of variables in the data frame df_mba

# attributes of the variable region
attributes(df_mba$region)
#> $label
#> [1] "Region (IPEDS)"
#> 
#> $labels
#>                                       U.S. Service Schools                       New England (CT, ME, MA, NH, RI, VT)                          Mid East (DE, DC, MD, NJ, NY, PA)                           Great Lakes (IL, IN, MI, OH, WI)                        Plains (IA, KS, MN, MO, NE, ND, SD) Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)                                 Southwest (AZ, NM, OK, TX)                       Rocky Mountains (CO, ID, MT, UT, WY)                          Far West (AK, CA, HI, NV, OR, WA)            Outlying Areas (AS, FM, GU, MH, MP, PR, PW, VI) 
#>                                                          0                                                          1                                                          2                                                          3                                                          4                                                          5                                                          6                                                          7                                                          8                                                          9 
#> 
#> $class
#> [1] "haven_labelled"

# use attr() to isolate attributes of the variable region
  # variable label
  attr(df_mba$region, which = 'label')
#> [1] "Region (IPEDS)"
  
  # value labels
  attr(df_mba$region, which = 'labels')
#>                                       U.S. Service Schools                       New England (CT, ME, MA, NH, RI, VT)                          Mid East (DE, DC, MD, NJ, NY, PA)                           Great Lakes (IL, IN, MI, OH, WI)                        Plains (IA, KS, MN, MO, NE, ND, SD) Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)                                 Southwest (AZ, NM, OK, TX)                       Rocky Mountains (CO, ID, MT, UT, WY)                          Far West (AK, CA, HI, NV, OR, WA)            Outlying Areas (AS, FM, GU, MH, MP, PR, PW, VI) 
#>                                                          0                                                          1                                                          2                                                          3                                                          4                                                          5                                                          6                                                          7                                                          8                                                          9
  
  # variable class
  attr(df_mba$region, which = 'class')
#> [1] "haven_labelled"

8.2 Object class

Every object in R has a class

• Class is an attribute of an object
• Object class controls how functions work and defines the rules for how objects can be treated by object oriented programming language
  • E.g., which functions you can apply to object of a particular class
  • E.g., what the function does to one object class, what it does to another object class

Because class is an attribute, class_ is additional “meta data” we put on top of the “just the data” part of an object

• consider the variable df_mba$region
  • this variable is a “double” (i.e., numeric) atomic vector (this is the “just the data” part)
  • the variable has additional attributes (metadata); “class” is one of these attributes
  • The “class” of df_mba$region is haven_labelled (more on this later)
• You can use the class() function to identify object class.
• When I encounter a new object I often investigate object by applying typeof(), class(), and attributes() functions

typeof(df_mba$region)
#> [1] "double"

attributes(df_mba$region)
#> $label
#> [1] "Region (IPEDS)"
#> 
#> $labels
#>                                       U.S. Service Schools                       New England (CT, ME, MA, NH, RI, VT)                          Mid East (DE, DC, MD, NJ, NY, PA)                           Great Lakes (IL, IN, MI, OH, WI)                        Plains (IA, KS, MN, MO, NE, ND, SD) Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)                                 Southwest (AZ, NM, OK, TX)                       Rocky Mountains (CO, ID, MT, UT, WY)                          Far West (AK, CA, HI, NV, OR, WA)            Outlying Areas (AS, FM, GU, MH, MP, PR, PW, VI) 
#>                                                          0                                                          1                                                          2                                                          3                                                          4                                                          5                                                          6                                                          7                                                          8                                                          9 
#> 
#> $class
#> [1] "haven_labelled"

class(df_mba$region)
#> [1] "haven_labelled"

Why is object class important?

• Functions care about object class, not object type
• Specific functions usually work with only particular classes of objects
• “Date” functions usually only work on objects with a date class
• “String” functions usually only work on objects with a character class
• Functions that do mathematical computation usually work on objects with a numeric class

8.2.1 labelled object class

Variable labels are labels attached to a specific variable (e.g., marital status) Value labels [in Stata] are labels attached to specific values of a variable, e.g.:

• Var value 1 attached to value label “married”, 2=“single”, 3=“divorced”

labelled is object class for importing vars with value labels from SAS/SPSS/Stata

• labelled object class created by haven package
• Characteristics of variables in R data frame with class==labelled:
  • Data type can be numeric(double) or character
  • To see value labels associated with each value:
    • attr(df_name$var_name,"labels")
    • E.g., attr(df_mba$region,"labels")

Working with labelled class variables (e.g., df_mba$s3region)

• underlying data type: numeric or character atomic vector
• name of value label attribute: labels
• refer to values of labelled class variable using: variable values (not values of labels attribute)

typeof(df_mba$region)
class(df_mba$region)
attributes(df_mba$region)
attr(df_mba$region,"label")


# frequency count
df_mba %>% count(region)
df_mba %>% count(region) %>% as_factor()

# filter based on underlying values of the variable
  # rocky mountains area
  df_mba %>% filter(region==7) %>% count(stabbr)

8.2.2 factor object class

Factors are an object class used to display categorical data (e.g., marital status)

• A factor is an augmented vector built by attaching a levels attribute to an (atomic) integer vectors
• Usually, we would prefer a categorical variable (e.g., race, school type) to be a factor variable rather than a character variable
• when running regression in R, categorical variables must be factor class variables

glimpse data frame with factor variables

df_mba_fac %>% glimpse()
#> Rows: 665
#> Columns: 36
#> $ opeid6                        <chr> "001002", "001052", "025034", "001055", "001051", "001009", "001003", "001004", "001016", "001036", "001047", "001063", "001061", "001081", "001083", "001082", "001101", "001108", "001090", "001089", "001092", "001097", "001100", "001107", "001117", "001125", "001133", "001143", "007993", "001157", "001142", "001144", "001146", "001141", "001147", "001137", "001138", "001139", "001140", "001153", "001150", "001313", "001314", "001315", "001316", "001317", "001164", "020705", "001196", "001253", "001205", "001183", "001149", "001216", "001215", "001243", "011460", "001179", "001252", "001329", "010149", "001262", "001322", "001151", "010395", "001154", "001325", "001155", "001326", "001302", "001156", "001328", "001343", "001345", "004508", "004509", "001370", "009401", "001350", "001371", "001363", "001374", "001416", "001378", "001417", "001385", "001422", "001397", "001402", "001403", "001409", "001406", "001380", "001431", "007948", "001434", 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"001928", "007032", "001926", "001943", "001940", "001949", "001950", "001954", "001959", "001962", "001975", "002002", "002010", "002008", "002017", "002015", "002005", "002020", "002024", "002025", "002031", "002029", "002053", "002051", "002054", "002052", "002102", "002062", "002072", "002076", "002077", "002078", "011644", "002103", "002083", "002086", "002091", "002114", "002117", "002118", "002122", "002124", "002128", "002130", "002133", "002183", "021829", "002139", "002143", "002184", "002161", "002221", "002222", "002199", "002188", "002208", "002211", "002210", "002218", "002226", "002233", "002190", "002238", "002243", "002249", "002323", "002259", "002262", "002266", "002279", "002325", "002290", "002326", "002327", "002307", "002314", "002316", "002318", "002329", "002330", "002334", "009058", "002347", "002354", "010374", "003969", "002371", "002377", "002380", "002345", "002342", "002375", "002394", "002396", "002397", "002403", "002410", "002440", "002424", "002415", 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#> $ instnm                        <chr> "Alabama A & M University", "University of Alabama at Birmingham", "Amridge University", "University of Alabama in Huntsville", "The University of Alabama", "Auburn University", "Faulkner University", "University of Montevallo", "University of North Alabama", "Samford University", "Troy University", "University of Alaska Fairbanks", "Alaska Pacific University", "Arizona State University-Tempe", "University of Arizona", "Northern Arizona University", "University of Arkansas at Little Rock", "University of Arkansas", "Arkansas State University-Main Campus", "Arkansas Tech University", "University of Central Arkansas", "Harding University", "John Brown University", "Southern Arkansas University Main Campus", "Azusa Pacific University", "California Baptist University", "California Lutheran University", "California Polytechnic State University-San Luis Obispo", "California State University-Bakersfield", "California State University-Stanislaus", "California State University-San Bernardino", "California State Polytechnic University-Pomona", "California State University-Chico", "California State University-Dominguez Hills", "California State University-Fresno", "California State University-Fullerton", "California State University-East Bay", "California State University-Long Beach", "California State University-Los Angeles", "California State University-Northridge", "California State University-Sacramento", "University of California-Davis", "University of California-Irvine", "University of California-Los Angeles", "University of California-Riverside", "University of California-San Diego", "Chapman University", "Concordia University-Irvine", "Dominican University of California", "Fresno Pacific University", "Golden Gate University-San Francisco", "Holy Names University", "Humboldt State University", "University of La Verne", "La Sierra University", "Mount Saint Mary's University", "National University", "Notre Dame de Namur University", "Hope International University", "University of the Pacific", "Pepperdine University", "Point Loma Nazarene University", "University of Redlands", "San Diego State University", "University of San Diego", "San Francisco State University", "University of San Francisco", "San Jose State University", "Santa Clara University", "Saint Mary's College of California", "Sonoma State University", "University of Southern California", "Woodbury University", "Adams State University", "University of Colorado Denver/Anschutz Medical Campus", "University of Colorado Colorado Springs", "University of Colorado Boulder", "Colorado Christian University", "Colorado State University-Fort Collins", "University of Denver", "Regis University", "Albertus Magnus College", "University of Bridgeport", "Central Connecticut State University", "University of Connecticut", "Fairfield University", "University of Hartford", "University of New Haven", "Quinnipiac University", "Sacred Heart University", "University of Saint Joseph", "Southern Connecticut State University", "Western Connecticut State University", "University of Delaware", "Wilmington University", "American University", "Gallaudet University", "George Washington University", "Trinity Washington University", "Barry University", "Lynn University", "University of Central Florida", "Embry-Riddle Aeronautical University-Daytona Beach", "Florida Agricultural and Mechanical University", "Florida Atlantic University", "Florida Institute of Technology", "Florida International University", "Florida Southern College", "University of Florida", "Jacksonville University", "Keiser University-Ft Lauderdale", "University of Miami", "University of North Florida", "Nova Southeastern University", "Palm Beach Atlantic University", "Rollins College", "Saint Leo University", "University of South Florida-Main Campus", "St. Thomas University", "Stetson University", "Southeastern University", "The University of Tampa", "The University of West Florida", "Albany State University", "Brenau University", "Clayton  State University", "Columbus State University", "Emory University", "Georgia Institute of Technology-Main Campus", "Georgia Southwestern State University", "Georgia College & State University", "Georgia Southern University", "University of Georgia", "Piedmont College", "Valdosta State University", "University of West Georgia", "Chaminade University of Honolulu", "University of Hawaii at Manoa", "Hawaii Pacific University", "Boise State University", "Idaho State University", "University of Idaho", "Northwest Nazarene University", "Aurora University", "Bradley University", "Concordia University-Chicago", "DePaul University", "Eastern Illinois University", "Elmhurst College", "Governors State University", "University of Illinois at Chicago", "Benedictine University", "Illinois State University", "Judson University", "Lewis University", "Loyola University Chicago", "McKendree University", "National Louis University", "North Central College", "North Park University", "Northern Illinois University", "Northwestern University", "Northeastern Illinois University", "Olivet Nazarene University", "Robert Morris University Illinois", "Rockford University", "Roosevelt University", "Dominican University", "University of St Francis", "Saint Xavier University", "Southern Illinois University-Carbondale", "Southern Illinois University-Edwardsville", "Western Illinois University", "Anderson University", "Bethel University", "Butler University", "Grace College and Theological Seminary", "University of Indianapolis", "University of Southern Indiana", "Indiana State University", "Indiana University-East", "Indiana Wesleyan University-Marion", "University of Saint Francis-Fort Wayne", "Valparaiso University", "University of Dubuque", "Iowa State University", "University of Iowa", "Mount Mercy University", "Saint Ambrose University", "Upper Iowa University", "Baker University", "Emporia State University", "Fort Hays State University", "Friends University", "University of Kansas", "Newman University", "Kansas State University", "MidAmerica Nazarene University", "Pittsburg State University", "University of Saint Mary", "Southwestern College", "Washburn University", "Wichita State University", "Bellarmine University", "Campbellsville University", "University of the Cumberlands", "Midway University", "Western Kentucky University", "Louisiana State University and Agricultural & Mechanical College", "Louisiana Tech University", "McNeese State University", "University of New Orleans", "Nicholls State University", "University of Louisiana at Monroe", "Southeastern Louisiana University", "Southern University and A & M College", "University of Louisiana at Lafayette", "Tulane University of Louisiana", "University of Maine", "Saint Joseph's College of Maine", "University of Southern Maine", "Thomas College", "University of Baltimore", "Bowie State University", "Frostburg State University", "Hood College", "Johns Hopkins University", "Loyola University Maryland", "University of Maryland Global Campus", "University of Maryland-College Park", "Morgan State University", "Mount St. Mary's University", "Salisbury University", "American International College", "Anna Maria College", "Assumption College", "Bay Path University", "Bentley University", "Boston College", "Boston University", "Brandeis University", "Bridgewater State University", "Cambridge College", "Clark University", "Curry College", "Fitchburg State University", "University of Massachusetts-Lowell", "University of Massachusetts-Amherst", "University of Massachusetts-Boston", "Northeastern University", "Salem State University", "Simmons University", "Springfield College", "University of Massachusetts-Dartmouth", "Suffolk University", "Western New England University", "Worcester Polytechnic Institute", "Worcester State University", "Andrews University", "Central Michigan University", "Davenport University", "University of Detroit Mercy", "Eastern Michigan University", "Kettering University", "Cornerstone University", "Lawrence Technological University", "University of Michigan-Ann Arbor", "Michigan State University", "University of Michigan-Dearborn", "University of Michigan-Flint", "Oakland University", "Saginaw Valley State University", "Siena Heights University", "Spring Arbor University", "Wayne State University", "Western Michigan University", "Augsburg University", "Bethel University", "Concordia University-Saint Paul", "Hamline University", "Metropolitan State University", "University of Minnesota-Twin Cities", "University of Northwestern-St Paul", "Saint Cloud State University", "Saint Mary's University of Minnesota", "University of St Thomas", "St Catherine University", "Southwest Minnesota State University", "Winona State University", "Alcorn State University", "Belhaven University", "Delta State University", "Jackson State University", "University of Mississippi", "Mississippi Valley State University", "Mississippi College", "Mississippi State University", "University of Southern Mississippi", "William Carey University", "Avila University", "University of Central Missouri", "Drury University", "Evangel University", "Fontbonne University", "Lindenwood University", "Missouri Baptist University", "Northwest Missouri State University", "Park University", "Rockhurst University", "Saint Louis University", "Southeast Missouri State University", "Missouri State University-Springfield", "Washington University in St Louis", "Webster University", "William Woods University", "The University of Montana", "Bellevue University", "Chadron State College", "University of Nebraska at Omaha", "University of Nebraska-Lincoln", "College of Saint Mary", "Wayne State College", "University of Nevada-Las Vegas", "University of Nevada-Reno", "Franklin Pierce University", "New England College", "Southern New Hampshire University", "Plymouth State University", "Rivier University", "Caldwell University", "Centenary University", "Fairlei...
#> $ control                       <fct> Public, Public, Private not-for-profit, Public, Public, Public, Private not-for-profit, Public, Public, Private not-for-profit, Public, Public, Private not-for-profit, Public, Public, Public, Public, Public, Public, Public, Public, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Public, Public, Public, Public, Public, Public, Public, Public, Public, Public, Public, Public, Public, Public, Public, Public, Public, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Public, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Public, Public, Public, Public, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Public, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Public, Public, Private not-for-profit, Public, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Public, Private not-for-profit, Public, Public, Private not-for-profit, Public, Public, Public, Public, Public, Private not-for-profit, Public, Public, Private not-for-profit, Public, Private not-for-profit, Public, Public, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Public, Public, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Public, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Public, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Public, Private not-for-profit, Public, Private not-for-profit, Public, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Public, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Public, Public, Public, Public, Public, Public, Public, Public, Public, Private not-for-profit, Public, Private not-for-profit, Public, Private not-for-profit, Public, Public, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Public, Public, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Public, Public, Public, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Public, Public, Public, Public, Public, Private not-for-profit, Private not-for-profit, Public, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Public, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Public, Public, Private not-for-profit, Public, Public, Public, Public, Private not-for-profit, Public, Public, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Public, Public, Public, Private not-for-profit, Public, Public, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Public, Public, Private not-for-profit, Public, Public, Public, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Public, Public, Public, Public, Public, Public, Public, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Public, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Public, Public, Public, Public, Public, Public, Public, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Public, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Public, Public, Public, Public, Public, Public, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Public, Public, Public, Public, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Public, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Public, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Public, Public, Public, Private not-for-profit, Public, Public, Public, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Public, Public, Private not-for-profit, Public, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Public, Public, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Public, Private not-for-profit, Public, Public, Public, Private not-for-profit, Public, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Public, Public, Public, Public, Public, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Public, Public, Private not-for-profit, Public, Public, Public, Public, Private not-for-profit, Public, Public, Private not-for-profit, Private not-for-profit, Public, Public, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Private not-for-profit, Private not-for-profit, Private not-for-profit, Public, Public, Public, Public, Public, Public, Public, Public, Public, Public, Private not-for-profit, Public, Public, Public, Public, Private not-for-profit, Public, Priva...
#> $ ccbasic                       <fct> Master's Colleges & Universities: Larger Programs, Doctoral Universities: Very High Research Activity, Master's Colleges & Universities: Small Programs, Doctoral Universities: High Research Activity, Doctoral Universities: Very High Research Activity, Doctoral Universities: Very High Research Activity, Master's Colleges & Universities: Medium Programs, Master's Colleges & Universities: Medium Programs, Master's Colleges & Universities: Larger Programs, Doctoral/Professional Universities, Master's Colleges & Universities: Larger Programs, Doctoral Universities: High Research Activity, Master's Colleges & Universities: Small Programs, Doctoral Universities: Very High Research Activity, Doctoral Universities: Very High Research Activity, Doctoral Universities: High Research Activity, Doctoral Universities: High Research Activity, Doctoral Universities: Very High Research Activity, Doctoral Universities: High Research Activity, Master's Colleges & Universities: Larger Programs, Doctoral/Professional Universities, Doctoral/Professional Universities, Master's Colleges & Universities: Medium Programs, Master's Colleges & Universities: Larger Programs, Doctoral Universities: High Research Activity, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Doctoral/Professional Universities, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Doctoral Universities: Very High Research Activity, Doctoral Universities: Very High Research Activity, Doctoral Universities: Very High Research Activity, Doctoral Universities: Very High Research Activity, Doctoral Universities: Very High Research Activity, Doctoral Universities: High Research Activity, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Medium Programs, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Medium Programs, Master's Colleges & Universities: Medium Programs, Doctoral/Professional Universities, Master's Colleges & Universities: Medium Programs, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Medium Programs, Master's Colleges & Universities: Medium Programs, Doctoral/Professional Universities, Doctoral/Professional Universities, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Doctoral Universities: High Research Activity, Doctoral Universities: High Research Activity, Master's Colleges & Universities: Larger Programs, Doctoral/Professional Universities, Master's Colleges & Universities: Larger Programs, Doctoral/Professional Universities, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Doctoral Universities: Very High Research Activity, Master's Colleges & Universities: Medium Programs, Master's Colleges & Universities: Larger Programs, Doctoral Universities: Very High Research Activity, Doctoral Universities: High Research Activity, Doctoral Universities: Very High Research Activity, Master's Colleges & Universities: Medium Programs, Doctoral Universities: Very High Research Activity, Doctoral Universities: High Research Activity, Doctoral/Professional Universities, Master's Colleges & Universities: Medium Programs, Doctoral/Professional Universities, Master's Colleges & Universities: Larger Programs, Doctoral Universities: Very High Research Activity, Master's Colleges & Universities: Larger Programs, Doctoral/Professional Universities, Master's Colleges & Universities: Larger Programs, Doctoral/Professional Universities, Doctoral/Professional Universities, Doctoral/Professional Universities, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Medium Programs, Doctoral Universities: Very High Research Activity, Doctoral/Professional Universities, Doctoral Universities: High Research Activity, Doctoral Universities: High Research Activity, Doctoral Universities: Very High Research Activity, Master's Colleges & Universities: Medium Programs, Doctoral/Professional Universities, Master's Colleges & Universities: Larger Programs, Doctoral Universities: Very High Research Activity, Master's Colleges & Universities: Medium Programs, Doctoral Universities: High Research Activity, Doctoral Universities: High Research Activity, Doctoral Universities: High Research Activity, Doctoral Universities: Very High Research Activity, Master's Colleges & Universities: Medium Programs, Doctoral Universities: Very High Research Activity, Master's Colleges & Universities: Larger Programs, Doctoral/Professional Universities, Doctoral Universities: Very High Research Activity, Doctoral/Professional Universities, Doctoral Universities: High Research Activity, Doctoral/Professional Universities, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Doctoral Universities: Very High Research Activity, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Medium Programs, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Medium Programs, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Medium Programs, Master's Colleges & Universities: Larger Programs, Doctoral Universities: Very High Research Activity, Doctoral Universities: Very High Research Activity, Master's Colleges & Universities: Medium Programs, Master's Colleges & Universities: Larger Programs, Doctoral Universities: High Research Activity, Doctoral Universities: Very High Research Activity, Master's Colleges & Universities: Larger Programs, Doctoral/Professional Universities, Doctoral/Professional Universities, Master's Colleges & Universities: Larger Programs, Doctoral Universities: Very High Research Activity, Master's Colleges & Universities: Larger Programs, Doctoral Universities: High Research Activity, Doctoral Universities: High Research Activity, Doctoral Universities: High Research Activity, Master's Colleges & Universities: Larger Programs, Doctoral/Professional Universities, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Doctoral Universities: High Research Activity, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Doctoral Universities: Very High Research Activity, Doctoral/Professional Universities, Doctoral Universities: High Research Activity, Master's Colleges & Universities: Small Programs, Master's Colleges & Universities: Larger Programs, Doctoral Universities: High Research Activity, Master's Colleges & Universities: Larger Programs, Doctoral/Professional Universities, Master's Colleges & Universities: Medium Programs, Master's Colleges & Universities: Larger Programs, Doctoral Universities: High Research Activity, Doctoral Universities: Very High Research Activity, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Medium Programs, Master's Colleges & Universities: Small Programs, Doctoral/Professional Universities, Master's Colleges & Universities: Larger Programs, Doctoral/Professional Universities, Master's Colleges & Universities: Larger Programs, Doctoral Universities: High Research Activity, Doctoral/Professional Universities, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Medium Programs, Master's Colleges & Universities: Small Programs, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Medium Programs, Doctoral/Professional Universities, Master's Colleges & Universities: Larger Programs, Doctoral/Professional Universities, Master's Colleges & Universities: Small Programs, Master's Colleges & Universities: Small Programs, Master's Colleges & Universities: Larger Programs, Doctoral/Professional Universities, Master's Colleges & Universities: Medium Programs, Doctoral Universities: Very High Research Activity, Doctoral Universities: Very High Research Activity, Master's Colleges & Universities: Medium Programs, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Doctoral/Professional Universities, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Larger Programs, Doctoral Universities: Very High Research Activity, Master's Colleges & Universities: Larger Programs, Doctoral Universities: Very High Research Activity, Master's Colleges & Universities: Medium Programs, Master's Colleges & Universities: Larger Programs, Master's Colleges & Universities: Medium Programs, Master's Colleges & Universities: Medium Programs, Doctoral/Professional Universities, Doctoral Universities: High Research Activity, Doctoral/Professional Universities, Master's Colleges & Universities: Larger Programs, Doctoral/Professional Universities, Master's Colleges & Universities: Small Programs, Doctoral...
#> $ stabbr                        <chr> "AL", "AL", "AL", "AL", "AL", "AL", "AL", "AL", "AL", "AL", "AL", "AK", "AK", "AZ", "AZ", "AZ", "AR", "AR", "AR", "AR", "AR", "AR", "AR", "AR", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CA", "CO", "CO", "CO", "CO", "CO", "CO", "CO", "CO", "CT", "CT", "CT", "CT", "CT", "CT", "CT", "CT", "CT", "CT", "CT", "CT", "DE", "DE", "DC", "DC", "DC", "DC", "FL", "FL", "FL", "FL", "FL", "FL", "FL", "FL", "FL", "FL", "FL", "FL", "FL", "FL", "FL", "FL", "FL", "FL", "FL", "FL", "FL", "FL", "FL", "FL", "GA", "GA", "GA", "GA", "GA", "GA", "GA", "GA", "GA", "GA", "GA", "GA", "GA", "HI", "HI", "HI", "ID", "ID", "ID", "ID", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IL", "IN", "IN", "IN", "IN", "IN", "IN", "IN", "IN", "IN", "IN", "IN", "IA", "IA", "IA", "IA", "IA", "IA", "KS", "KS", "KS", "KS", "KS", "KS", "KS", "KS", "KS", "KS", "KS", "KS", "KS", "KY", "KY", "KY", "KY", "KY", "LA", "LA", "LA", "LA", "LA", "LA", "LA", "LA", "LA", "LA", "ME", "ME", "ME", "ME", "MD", "MD", "MD", "MD", "MD", "MD", "MD", "MD", "MD", "MD", "MD", "MA", "MA", "MA", "MA", "MA", "MA", "MA", "MA", "MA", "MA", "MA", "MA", "MA", "MA", "MA", "MA", "MA", "MA", "MA", "MA", "MA", "MA", "MA", "MA", "MA", "MI", "MI", "MI", "MI", "MI", "MI", "MI", "MI", "MI", "MI", "MI", "MI", "MI", "MI", "MI", "MI", "MI", "MI", "MN", "MN", "MN", "MN", "MN", "MN", "MN", "MN", "MN", "MN", "MN", "MN", "MN", "MS", "MS", "MS", "MS", "MS", "MS", "MS", "MS", "MS", "MS", "MO", "MO", "MO", "MO", "MO", "MO", "MO", "MO", "MO", "MO", "MO", "MO", "MO", "MO", "MO", "MO", "MT", "NE", "NE", "NE", "NE", "NE", "NE", "NV", "NV", "NH", "NH", "NH", "NH", "NH", "NJ", "NJ", "NJ", "NJ", "NJ", "NJ", "NJ", "NJ", "NJ", "NJ", "NJ", "NJ", "NJ", "NJ", "NJ", "NJ", "NJ", "NJ", "NJ", "NM", "NM", "NM", "NM", "NM", "NM", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NY", "NC", "NC", "NC", "NC", "NC", "NC", "NC", "NC", "NC", "NC", "NC", "NC", "NC", "NC", "NC", "NC", "NC", "NC", "NC", "NC", "NC", "ND", "ND", "ND", "ND", "OH", "OH", "OH", "OH", "OH", "OH", "OH", "OH", "OH", "OH", "OH", "OH", "OH", "OH", "OH", "OH", "OH", "OH", "OH", "OH", "OH", "OH", "OH", "OH", "OH", "OH", "OH", "OH", "OH", "OK", "OK", "OK", "OK", "OK", "OK", "OK", "OK", "OK", "OK", "OR", "OR", "OR", "OR", "OR", "OR", "OR", "OR", "OR", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "PA", "RI", "RI", "RI", "RI", "RI", "SC", "SC", "SC", "SC", "SC", "SC", "SC", "SC", "SC", "SD", "SD", "TN", "TN", "TN", "TN", "TN", "TN", "TN", "TN", "TN", "TN", "TN", "TN", "TN", "TN", "TN", "TN", "TN", "TN", "TN", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "TX", "UT", "UT", "UT", "UT", "UT", "UT", "UT", "VT", "VT", "VT", "VA", "VA", "VA", "VA", "VA", "VA", "VA", "VA", "VA", "VA", "VA", "VA", "VA", "VA", "VA", "WA", "WA", "WA", "WA", "WA", "WA", "WA", "WA", "WA", "WA", "WA", "WV", "WV", "WI", "WI", "WI", "WI", "WI", "WI", "WI", "WI", "WI", "WI", "WI", "WI", "WI", "WI", "WY", "PR", "PR", "PR", "IN", "OK", "CA", "CA", "FL", "CA", "UT", "FL", "CA", "CA", "GA"
#> $ region                        <fct> "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Southwest (AZ, NM, OK, TX)", "Southwest (AZ, NM, OK, TX)", "Southwest (AZ, NM, OK, TX)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Rocky Mountains (CO, ID, MT, UT, WY)", "Rocky Mountains (CO, ID, MT, UT, WY)", "Rocky Mountains (CO, ID, MT, UT, WY)", "Rocky Mountains (CO, ID, MT, UT, WY)", "Rocky Mountains (CO, ID, MT, UT, WY)", "Rocky Mountains (CO, ID, MT, UT, WY)", "Rocky Mountains (CO, ID, MT, UT, WY)", "Rocky Mountains (CO, ID, MT, UT, WY)", "New England (CT, ME, MA, NH, RI, VT)", "New England (CT, ME, MA, NH, RI, VT)", "New England (CT, ME, MA, NH, RI, VT)", "New England (CT, ME, MA, NH, RI, VT)", "New England (CT, ME, MA, NH, RI, VT)", "New England (CT, ME, MA, NH, RI, VT)", "New England (CT, ME, MA, NH, RI, VT)", "New England (CT, ME, MA, NH, RI, VT)", "New England (CT, ME, MA, NH, RI, VT)", "New England (CT, ME, MA, NH, RI, VT)", "New England (CT, ME, MA, NH, RI, VT)", "New England (CT, ME, MA, NH, RI, VT)", "Mid East (DE, DC, MD, NJ, NY, PA)", "Mid East (DE, DC, MD, NJ, NY, PA)", "Mid East (DE, DC, MD, NJ, NY, PA)", "Mid East (DE, DC, MD, NJ, NY, PA)", "Mid East (DE, DC, MD, NJ, NY, PA)", "Mid East (DE, DC, MD, NJ, NY, PA)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Far West (AK, CA, HI, NV, OR, WA)", "Rocky Mountains (CO, ID, MT, UT, WY)", "Rocky Mountains (CO, ID, MT, UT, WY)", "Rocky Mountains (CO, ID, MT, UT, WY)", "Rocky Mountains (CO, ID, MT, UT, WY)", "Great Lakes (IL, IN, MI, OH, WI)", "Great Lakes (IL, IN, MI, OH, WI)", "Great Lakes (IL, IN, MI, OH, WI)", "Great Lakes (IL, IN, MI, OH, WI)", "Great Lakes (IL, IN, MI, OH, WI)", "Great Lakes (IL, IN, MI, OH, WI)", "Great Lakes (IL, IN, MI, OH, WI)", "Great Lakes (IL, IN, MI, OH, WI)", "Great Lakes (IL, IN, MI, OH, WI)", "Great Lakes (IL, IN, MI, OH, WI)", "Great Lakes (IL, IN, MI, OH, WI)", "Great Lakes (IL, IN, MI, OH, WI)", "Great Lakes (IL, IN, MI, OH, WI)", "Great Lakes (IL, IN, MI, OH, WI)", "Great Lakes (IL, IN, MI, OH, WI)", "Great Lakes (IL, IN, MI, OH, WI)", "Great Lakes (IL, IN, MI, OH, WI)", "Great Lakes (IL, IN, MI, OH, WI)", "Great Lakes (IL, IN, MI, OH, WI)", "Great Lakes (IL, IN, MI, OH, WI)", "Great Lakes (IL, IN, MI, OH, WI)", "Great Lakes (IL, IN, MI, OH, WI)", "Great Lakes (IL, IN, MI, OH, WI)", "Great Lakes (IL, IN, MI, OH, WI)", "Great Lakes (IL, IN, MI, OH, WI)", "Great Lakes (IL, IN, MI, OH, WI)", "Great Lakes (IL, IN, MI, OH, WI)", "Great Lakes (IL, IN, MI, OH, WI)", "Great Lakes (IL, IN, MI, OH, WI)", "Great Lakes (IL, IN, MI, OH, WI)", "Great Lakes (IL, IN, MI, OH, WI)", "Great Lakes (IL, IN, MI, OH, WI)", "Great Lakes (IL, IN, MI, OH, WI)", "Great Lakes (IL, IN, MI, OH, WI)", "Great Lakes (IL, IN, MI, OH, WI)", "Great Lakes (IL, IN, MI, OH, WI)", "Great Lakes (IL, IN, MI, OH, WI)", "Great Lakes (IL, IN, MI, OH, WI)", "Great Lakes (IL, IN, MI, OH, WI)", "Great Lakes (IL, IN, MI, OH, WI)", "Great Lakes (IL, IN, MI, OH, WI)", "Plains (IA, KS, MN, MO, NE, ND, SD)", "Plains (IA, KS, MN, MO, NE, ND, SD)", "Plains (IA, KS, MN, MO, NE, ND, SD)", "Plains (IA, KS, MN, MO, NE, ND, SD)", "Plains (IA, KS, MN, MO, NE, ND, SD)", "Plains (IA, KS, MN, MO, NE, ND, SD)", "Plains (IA, KS, MN, MO, NE, ND, SD)", "Plains (IA, KS, MN, MO, NE, ND, SD)", "Plains (IA, KS, MN, MO, NE, ND, SD)", "Plains (IA, KS, MN, MO, NE, ND, SD)", "Plains (IA, KS, MN, MO, NE, ND, SD)", "Plains (IA, KS, MN, MO, NE, ND, SD)", "Plains (IA, KS, MN, MO, NE, ND, SD)", "Plains (IA, KS, MN, MO, NE, ND, SD)", "Plains (IA, KS, MN, MO, NE, ND, SD)", "Plains (IA, KS, MN, MO, NE, ND, SD)", "Plains (IA, KS, MN, MO, NE, ND, SD)", "Plains (IA, KS, MN, MO, NE, ND, SD)", "Plains (IA, KS, MN, MO, NE, ND, SD)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)", "New England (CT, ME, MA, NH, RI, VT)", "New England (CT, ME, MA, NH...
#> $ city                          <chr> "Normal", "Birmingham", "Montgomery", "Huntsville", "Tuscaloosa", "Auburn", "Montgomery", "Montevallo", "Florence", "Birmingham", "Troy", "Fairbanks", "Anchorage", "Tempe", "Tucson", "Flagstaff", "Little Rock", "Fayetteville", "Jonesboro", "Russellville", "Conway", "Searcy", "Siloam Springs", "Magnolia", "Azusa", "Riverside", "Thousand Oaks", "San Luis Obispo", "Bakersfield", "Turlock", "San Bernardino", "Pomona", "Chico", "Carson", "Fresno", "Fullerton", "Hayward", "Long Beach", "Los Angeles", "Northridge", "Sacramento", "Davis", "Irvine", "Los Angeles", "Riverside", "La Jolla", "Orange", "Irvine", "San Rafael", "Fresno", "San Francisco", "Oakland", "Arcata", "La Verne", "Riverside", "Los Angeles", "La Jolla", "Belmont", "Fullerton", "Stockton", "Malibu", "San Diego", "Redlands", "San Diego", "San Diego", "San Francisco", "San Francisco", "San Jose", "Santa Clara", "Moraga", "Rohnert Park", "Los Angeles", "Burbank", "Alamosa", "Denver", "Colorado Springs", "Boulder", "Lakewood", "Fort Collins", "Denver", "Denver", "New Haven", "Bridgeport", "New Britain", "Storrs", "Fairfield", "West Hartford", "West Haven", "Hamden", "Fairfield", "West Hartford", "New Haven", "Danbury", "Newark", "New Castle", "Washington", "Washington", "Washington", "Washington", "Miami", "Boca Raton", "Orlando", "Daytona Beach", "Tallahassee", "Boca Raton", "Melbourne", "Miami", "Lakeland", "Gainesville", "Jacksonville", "Fort Lauderdale", "Coral Gables", "Jacksonville", "Fort Lauderdale", "West Palm Beach", "Winter Park", "Saint Leo", "Tampa", "Miami Gardens", "DeLand", "Lakeland", "Tampa", "Pensacola", "Albany", "Gainesville", "Morrow", "Columbus", "Atlanta", "Atlanta", "Americus", "Milledgeville", "Statesboro", "Athens", "Demorest", "Valdosta", "Carrollton", "Honolulu", "Honolulu", "Honolulu", "Boise", "Pocatello", "Moscow", "Nampa", "Aurora", "Peoria", "River Forest", "Chicago", "Charleston", "Elmhurst", "University Park", "Chicago", "Lisle", "Normal", "Elgin", "Romeoville", "Chicago", "Lebanon", "Chicago", "Naperville", "Chicago", "Dekalb", "Evanston", "Chicago", "Bourbonnais", "Chicago", "Rockford", "Chicago", "River Forest", "Joliet", "Chicago", "Carbondale", "Edwardsville", "Macomb", "Anderson", "Mishawaka", "Indianapolis", "Winona Lake", "Indianapolis", "Evansville", "Terre Haute", "Richmond", "Marion", "Fort Wayne", "Valparaiso", "Dubuque", "Ames", "Iowa City", "Cedar Rapids", "Davenport", "Fayette", "Baldwin City", "Emporia", "Hays", "Wichita", "Lawrence", "Wichita", "Manhattan", "Olathe", "Pittsburg", "Leavenworth", "Winfield", "Topeka", "Wichita", "Louisville", "Campbellsville", "Williamsburg", "Midway", "Bowling Green", "Baton Rouge", "Ruston", "Lake Charles", "New Orleans", "Thibodaux", "Monroe", "Hammond", "Baton Rouge", "Lafayette", "New Orleans", "Orono", "Standish", "Portland", "Waterville", "Baltimore", "Bowie", "Frostburg", "Frederick", "Baltimore", "Baltimore", "Adelphi", "College Park", "Baltimore", "Emmitsburg", "Salisbury", "Springfield", "Paxton", "Worcester", "Longmeadow", "Waltham", "Chestnut Hill", "Boston", "Waltham", "Bridgewater", "Boston", "Worcester", "Milton", "Fitchburg", "Lowell", "Amherst", "Boston", "Boston", "Salem", "Boston", "Springfield", "North Dartmouth", "Boston", "Springfield", "Worcester", "Worcester", "Berrien Springs", "Mount Pleasant", "Grand Rapids", "Detroit", "Ypsilanti", "Flint", "Grand Rapids", "Southfield", "Ann Arbor", "East Lansing", "Dearborn", "Flint", "Rochester Hills", "University Center", "Adrian", "Spring Arbor", "Detroit", "Kalamazoo", "Minneapolis", "Saint Paul", "Saint Paul", "Saint Paul", "Saint Paul", "Minneapolis", "Saint Paul", "Saint Cloud", "Winona", "Saint Paul", "Saint Paul", "Marshall", "Winona", "Alcorn State", "Jackson", "Cleveland", "Jackson", "University", "Itta Bena", "Clinton", "Mississippi State", "Hattiesburg", "Hattiesburg", "Kansas City", "Warrensburg", "Springfield", "Springfield", "Saint Louis", "Saint Charles", "Saint Louis", "Maryville", "Parkville", "Kansas City", "Saint Louis", "Cape Girardeau", "Springfield", "Saint Louis", "Saint Louis", "Fulton", "Missoula", "Bellevue", "Chadron", "Omaha", "Lincoln", "Omaha", "Wayne", "Las Vegas", "Reno", "Rindge", "Henniker", "Manchester", "Plymouth", "Nashua", "Caldwell", "Hackettstown", "Teaneck", "Lodi", "Lakewood", "Glassboro", "Jersey City", "Union", "West Long Branch", "Montclair", "Newark", "Mahwah", "Lawrenceville", "New Brunswick", "Jersey City", "Hoboken", "Galloway", "Trenton", "Wayne", "Portales", "Las Vegas", "Albuquerque", "Las Cruces", "Hobbs", "Silver City", "Garden City", "Alfred", "Buffalo", "Potsdam", "New York", "New York", "Ithaca", "New York", "Brooklyn", "Bronx", "Buffalo", "Orangeburg", "Bronx", "Hempstead", "New Rochelle", "Keuka Park", "Syracuse", "Brookville", "Riverdale", "Poughkeepsie", "Dobbs Ferry", "Rockville Centre", "Newburgh", "Bronx", "New York", "New York", "Old Westbury", "New York", "New York", "Rochester", "Rochester", "Troy", "Saint Bonaventure", "Albany", "Brooklyn", "Rochester", "Queens", "Albany", "Vestal", "Buffalo", "Stony Brook", "Buffalo", "New Paltz", "Oswego", "Saratoga Springs", "Throggs Neck", "Syracuse", "New York", "Utica", "Staten Island", "Boone", "Buies Creek", "Greenville", "Elon", "Fayetteville", "Boiling Springs", "Hickory", "Montreat", "Greensboro", "Chapel Hill", "Charlotte", "Greensboro", "Durham", "Raleigh", "Wilmington", "Pembroke", "Misenheimer", "Charlotte", "Winston-Salem", "Wingate", "Cullowhee", "Bismarck", "Minot", "Grand Forks", "Fargo", "Akron", "Ashland", "Berea", "Bowling Green", "Columbus", "Cleveland", "Cincinnati", "Cleveland", "Dayton", "Findlay", "University Heights", "Kent", "Painesville", "Sylvania", "Canton", "Oxford", "Mount Vernon", "Cincinnati", "Columbus", "Columbus", "Athens", "Tiffin", "Toledo", "Cincinnati", "Pepper Pike", "North Canton", "Dayton", "Cincinnati", "Youngstown", "Bartlesville", "Bethany", "Edmond", "Tahlequah", "Stillwater", "Oklahoma City", "Norman", "Durant", "Weatherford", "Tulsa", "La Grande", "Newberg", "Eugene", "Corvallis", "Eugene", "Forest Grove", "Portland", "Portland", "Ashland", "Center Valley", "Reading", "Bloomsburg", "Radnor", "California", "Pittsburgh", "Pittsburgh", "Clarion", "Doylestown", "Philadelphia", "Pittsburgh", "Saint Davids", "Erie", "Beaver Falls", "Gwynedd Valley", "Philadelphia", "Indiana", "Philadelphia", "Annville", "Bethlehem", "Lincoln University", "Scranton", "Aston", "University Park", "Philadelphia", "Pittsburgh", "Rosemont", "Loretto", "Scranton", "Greensburg", "Shippensburg", "Slippery Rock", "Philadelphia", "Villanova", "Waynesburg", "West Chester", "Chester", "Wilkes-Barre", "York", "Smithfield", "Providence", "Providence", "Kingston", "Newport", "Anderson", "Charleston", "Central", "Charleston", "Clemson", "Tigerville", "Columbia", "Conway", "Rock Hill", "Sioux Falls", "Vermillion", "Clarksville", "Nashville", "Jefferson City", "Memphis", "Lebanon", "Nashville", "Johnson City", "Bristol", "Cleveland", "Harrogate", "Memphis", "Murfreesboro", "Chattanooga", "Knoxville", "Martin", "Nashville", "Cookeville", "Greeneville", "Jackson", "Abilene", "San Angelo", "Waco", "Austin", "Corpus Christi", "Dallas", "Irving", "Texarkana", "Commerce", "Houston", "Houston", "Houston", "Victoria", "Houston", "San Antonio", "Beaumont", "Laredo", "Longview", "Belton", "Wichita Falls", "Denton", "San Antonio", "Prairie View", "Houston", "Austin", "Houston", "Huntsville", "San Antonio", "Dallas", "Waxahachie", "Nacogdoches", "San Marcos", "Stephenville", "Kingsville", "College Station", "Arlington", "Austin", "Richardson", "El Paso", "Tyler", "Fort Worth", "San Antonio", "Houston", "Lubbock", "Denton", "Plainview", "Canyon", "Provo", "Cedar City", "Logan", "Orem", "Salt Lake City", "Ogden", "Salt Lake City", "Burlington", "Northfield", "Burlington", "Williamsburg", "Virginia Beach", "Harrisonburg", "Fairfax", "Hampton", "Harrisonburg", "Lynchburg", "Lynchburg", "Fredericksburg", "Arlington", "Norfolk", "Winchester", "Blacksburg", "Richmond", "Charlottesville", "Seattle", "Cheney", "Spokane", "Kirkland", "Tacoma", "Lacey", "Seattle", "Pullman", "Seattle", "Bellingham", "Spokane", "Fairmont", "Morgantown", "Milwaukee", "Milwaukee", "Waukesha", "Mequon", "Madison", "Plymouth", "Fond Du Lac", "Milwaukee", "La Crosse", "Eau Claire", "Oshkosh", "Milwaukee", "Platteville", "River Falls", "Laramie", "San Juan", "Carolina", "Gurabo", "West Lafayette", "Oklahoma City", "Irvine", "San Marcos", "Naples", "Seaside", "Salt Lake City", "Fort Myers", "Camarillo", "Los Alamitos", "Augusta"
#> $ locale                        <fct> "City: Midsize (population of at least 100,000 but less than 250,000)", "City: Midsize (population of at least 100,000 but less than 250,000)", "City: Midsize (population of at least 100,000 but less than 250,000)", "City: Midsize (population of at least 100,000 but less than 250,000)", "City: Midsize (population of at least 100,000 but less than 250,000)", "City: Small (population less than 100,000)", "City: Midsize (population of at least 100,000 but less than 250,000)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "City: Small (population less than 100,000)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "Town: Remote (in urban cluster more than 35 miles from an urbanized area)", "Suburb: Small (outside principal city, in urbanized area with population less than 100,000)", "City: Large (population of 250,000 or more)", "City: Midsize (population of at least 100,000 but less than 250,000)", "City: Large (population of 250,000 or more)", "City: Small (population less than 100,000)", "City: Midsize (population of at least 100,000 but less than 250,000)", "City: Small (population less than 100,000)", "City: Small (population less than 100,000)", "Town: Remote (in urban cluster more than 35 miles from an urbanized area)", "City: Small (population less than 100,000)", "Town: Distant (in urban cluster more than 10 miles and up to 35 miles from an urbanized area)", "Town: Distant (in urban cluster more than 10 miles and up to 35 miles from an urbanized area)", "Town: Remote (in urban cluster more than 35 miles from an urbanized area)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "City: Large (population of 250,000 or more)", "City: Midsize (population of at least 100,000 but less than 250,000)", "Suburb: Small (outside principal city, in urbanized area with population less than 100,000)", "City: Large (population of 250,000 or more)", "Suburb: Small (outside principal city, in urbanized area with population less than 100,000)", "City: Midsize (population of at least 100,000 but less than 250,000)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "City: Small (population less than 100,000)", "City: Small (population less than 100,000)", "City: Large (population of 250,000 or more)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "City: Large (population of 250,000 or more)", "City: Large (population of 250,000 or more)", "City: Large (population of 250,000 or more)", "City: Large (population of 250,000 or more)", "Suburb: Small (outside principal city, in urbanized area with population less than 100,000)", "City: Large (population of 250,000 or more)", "City: Large (population of 250,000 or more)", "City: Large (population of 250,000 or more)", "City: Large (population of 250,000 or more)", "City: Midsize (population of at least 100,000 but less than 250,000)", "City: Large (population of 250,000 or more)", "City: Small (population less than 100,000)", "City: Large (population of 250,000 or more)", "City: Large (population of 250,000 or more)", "City: Large (population of 250,000 or more)", "Town: Remote (in urban cluster more than 35 miles from an urbanized area)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "City: Large (population of 250,000 or more)", "City: Large (population of 250,000 or more)", "City: Large (population of 250,000 or more)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "City: Large (population of 250,000 or more)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "City: Large (population of 250,000 or more)", "City: Small (population less than 100,000)", "City: Large (population of 250,000 or more)", "City: Large (population of 250,000 or more)", "City: Large (population of 250,000 or more)", "City: Large (population of 250,000 or more)", "City: Large (population of 250,000 or more)", "City: Midsize (population of at least 100,000 but less than 250,000)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "City: Large (population of 250,000 or more)", "City: Large (population of 250,000 or more)", "Town: Remote (in urban cluster more than 35 miles from an urbanized area)", "City: Large (population of 250,000 or more)", "City: Large (population of 250,000 or more)", "City: Midsize (population of at least 100,000 but less than 250,000)", "City: Midsize (population of at least 100,000 but less than 250,000)", "City: Midsize (population of at least 100,000 but less than 250,000)", "City: Large (population of 250,000 or more)", "City: Large (population of 250,000 or more)", "City: Midsize (population of at least 100,000 but less than 250,000)", "City: Midsize (population of at least 100,000 but less than 250,000)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "City: Midsize (population of at least 100,000 but less than 250,000)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "City: Midsize (population of at least 100,000 but less than 250,000)", "City: Small (population less than 100,000)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "City: Large (population of 250,000 or more)", "City: Large (population of 250,000 or more)", "City: Large (population of 250,000 or more)", "City: Large (population of 250,000 or more)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "City: Small (population less than 100,000)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "City: Small (population less than 100,000)", "City: Midsize (population of at least 100,000 but less than 250,000)", "City: Small (population less than 100,000)", "City: Small (population less than 100,000)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "City: Midsize (population of at least 100,000 but less than 250,000)", "City: Midsize (population of at least 100,000 but less than 250,000)", "City: Large (population of 250,000 or more)", "City: Midsize (population of at least 100,000 but less than 250,000)", "City: Small (population less than 100,000)", "City: Large (population of 250,000 or more)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "City: Midsize (population of at least 100,000 but less than 250,000)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "Suburb: Small (outside principal city, in urbanized area with population less than 100,000)", "City: Large (population of 250,000 or more)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "City: Small (population less than 100,000)", "City: Midsize (population of at least 100,000 but less than 250,000)", "City: Large (population of 250,000 or more)", "City: Small (population less than 100,000)", "City: Small (population less than 100,000)", "City: Small (population less than 100,000)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "City: Midsize (population of at least 100,000 but less than 250,000)", "City: Large (population of 250,000 or more)", "City: Large (population of 250,000 or more)", "Town: Distant (in urban cluster more than 10 miles and up to 35 miles from an urbanized area)", "Town: Distant (in urban cluster more than 10 miles and up to 35 miles from an urbanized area)", "Town: Distant (in urban cluster more than 10 miles and up to 35 miles from an urbanized area)", "City: Midsize (population of at least 100,000 but less than 250,000)", "Town: Distant (in urban cluster more than 10 miles and up to 35 miles from an urbanized area)", "City: Small (population less than 100,000)", "Town: Fringe (in urban cluster up to 10 miles from an urbanized area)", "City: Large (population of 250,000 or more)", "City: Large (population of 250,000 or more)", "City: Large (population of 250,000 or more)", "City: Midsize (population of at least 100,000 but less than 250,000)", "City: Small (population less than 100,000)", "Town: Distant (in urban cluster more than 10 miles and up to 35 miles from an urbanized area)", "Suburb: Midsize (outside principal city, in urbanized area with population of at least 100,000 but less than 250,000)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "City: Midsize (population of at least 100,000 but less than 250,000)", "Suburb: Large (outside principal city, in urbanized area with population of 250,000 or more)", "City: Large (population of 250,000 or more)", "Town: Distant (in urban cluster mo...
#> $ urban                         <fct> med/small city, med/small city, med/small city, med/small city, med/small city, med/small city, med/small city, suburb, med/small city, suburb, town/rural, suburb, large city (250k+), med/small city, large city (250k+), med/small city, med/small city, med/small city, med/small city, town/rural, med/small city, town/rural, town/rural, town/rural, suburb, large city (250k+), med/small city, suburb, large city (250k+), suburb, med/small city, suburb, med/small city, med/small city, large city (250k+), suburb, suburb, large city (250k+), large city (250k+), large city (250k+), large city (250k+), suburb, large city (250k+), large city (250k+), large city (250k+), large city (250k+), med/small city, large city (250k+), med/small city, large city (250k+), large city (250k+), large city (250k+), town/rural, suburb, large city (250k+), large city (250k+), large city (250k+), suburb, suburb, large city (250k+), suburb, large city (250k+), med/small city, large city (250k+), large city (250k+), large city (250k+), large city (250k+), large city (250k+), med/small city, suburb, suburb, large city (250k+), large city (250k+), town/rural, large city (250k+), large city (250k+), med/small city, med/small city, med/small city, large city (250k+), large city (250k+), med/small city, med/small city, suburb, suburb, suburb, med/small city, suburb, suburb, suburb, suburb, med/small city, med/small city, suburb, suburb, large city (250k+), large city (250k+), large city (250k+), large city (250k+), suburb, med/small city, suburb, med/small city, med/small city, med/small city, med/small city, suburb, med/small city, med/small city, large city (250k+), med/small city, med/small city, large city (250k+), suburb, med/small city, suburb, suburb, large city (250k+), suburb, med/small city, med/small city, large city (250k+), med/small city, med/small city, med/small city, suburb, med/small city, large city (250k+), large city (250k+), town/rural, town/rural, town/rural, med/small city, town/rural, med/small city, town/rural, large city (250k+), large city (250k+), large city (250k+), med/small city, med/small city, town/rural, suburb, suburb, med/small city, suburb, large city (250k+), town/rural, suburb, town/rural, large city (250k+), suburb, suburb, med/small city, suburb, large city (250k+), suburb, large city (250k+), med/small city, large city (250k+), suburb, med/small city, large city (250k+), suburb, large city (250k+), med/small city, large city (250k+), suburb, suburb, large city (250k+), med/small city, suburb, town/rural, med/small city, med/small city, large city (250k+), town/rural, large city (250k+), suburb, med/small city, town/rural, town/rural, large city (250k+), suburb, med/small city, med/small city, med/small city, med/small city, med/small city, town/rural, town/rural, town/rural, town/rural, large city (250k+), med/small city, large city (250k+), med/small city, suburb, town/rural, town/rural, town/rural, med/small city, large city (250k+), large city (250k+), town/rural, town/rural, town/rural, med/small city, med/small city, town/rural, med/small city, large city (250k+), med/small city, med/small city, med/small city, med/small city, med/small city, large city (250k+), suburb, town/rural, med/small city, town/rural, large city (250k+), suburb, suburb, med/small city, large city (250k+), large city (250k+), suburb, suburb, large city (250k+), town/rural, suburb, med/small city, town/rural, med/small city, suburb, med/small city, med/small city, large city (250k+), med/small city, suburb, large city (250k+), med/small city, suburb, suburb, suburb, suburb, large city (250k+), large city (250k+), suburb, large city (250k+), med/small city, suburb, large city (250k+), med/small city, med/small city, med/small city, town/rural, town/rural, suburb, large city (250k+), suburb, med/small city, med/small city, med/small city, med/small city, med/small city, med/small city, med/small city, suburb, suburb, town/rural, suburb, large city (250k+), med/small city, large city (250k+), suburb, large city (250k+), large city (250k+), large city (250k+), large city (250k+), suburb, med/small city, town/rural, large city (250k+), large city (250k+), town/rural, town/rural, town/rural, med/small city, town/rural, med/small city, town/rural, town/rural, suburb, town/rural, med/small city, med/small city, large city (250k+), town/rural, med/small city, med/small city, suburb, med/small city, suburb, town/rural, suburb, large city (250k+), large city (250k+), med/small city, med/small city, suburb, suburb, town/rural, med/small city, suburb, town/rural, large city (250k+), large city (250k+), large city (250k+), town/rural, med/small city, large city (250k+), town/rural, town/rural, suburb, town/rural, med/small city, suburb, suburb, suburb, suburb, med/small city, suburb, large city (250k+), suburb, suburb, suburb, large city (250k+), suburb, suburb, med/small city, large city (250k+), suburb, suburb, med/small city, suburb, town/rural, town/rural, large city (250k+), suburb, town/rural, town/rural, suburb, town/rural, large city (250k+), town/rural, large city (250k+), large city (250k+), med/small city, large city (250k+), large city (250k+), large city (250k+), large city (250k+), suburb, large city (250k+), suburb, suburb, town/rural, suburb, suburb, large city (250k+), suburb, suburb, suburb, med/small city, large city (250k+), large city (250k+), large city (250k+), suburb, large city (250k+), large city (250k+), suburb, suburb, med/small city, town/rural, med/small city, large city (250k+), suburb, large city (250k+), med/small city, suburb, suburb, suburb, large city (250k+), suburb, town/rural, suburb, large city (250k+), med/small city, large city (250k+), med/small city, large city (250k+), town/rural, town/rural, med/small city, suburb, med/small city, town/rural, med/small city, suburb, large city (250k+), med/small city, large city (250k+), large city (250k+), large city (250k+), large city (250k+), med/small city, town/rural, town/rural, large city (250k+), med/small city, suburb, town/rural, town/rural, town/rural, med/small city, med/small city, med/small city, town/rural, suburb, town/rural, suburb, large city (250k+), large city (250k+), large city (250k+), med/small city, town/rural, suburb, suburb, suburb, suburb, med/small city, town/rural, town/rural, suburb, large city (250k+), large city (250k+), town/rural, town/rural, large city (250k+), large city (250k+), suburb, suburb, suburb, large city (250k+), med/small city, town/rural, suburb, suburb, town/rural, town/rural, large city (250k+), suburb, town/rural, town/rural, large city (250k+), town/rural, town/rural, med/small city, med/small city, med/small city, suburb, large city (250k+), large city (250k+), suburb, town/rural, med/small city, med/small city, suburb, suburb, large city (250k+), large city (250k+), town/rural, suburb, large city (250k+), large city (250k+), suburb, med/small city, suburb, suburb, large city (250k+), town/rural, large city (250k+), suburb, med/small city, suburb, med/small city, suburb, med/small city, large city (250k+), large city (250k+), suburb, town/rural, med/small city, suburb, town/rural, town/rural, large city (250k+), suburb, town/rural, suburb, suburb, med/small city, suburb, suburb, med/small city, med/small city, suburb, suburb, med/small city, med/small city, suburb, med/small city, suburb, town/rural, med/small city, med/small city, med/small city, med/small city, town/rural, med/small city, large city (250k+), suburb, large city (250k+), town/rural, large city (250k+), med/small city, med/small city, med/small city, town/rural, large city (250k+), med/small city, med/small city, med/small city, town/rural, large city (250k+), town/rural, town/rural, med/small city, med/small city, med/small city, med/small city, large city (250k+), large city (250k+), large city (250k+), med/small city, town/rural, town/rural, large city (250k+), suburb, large city (250k+), med/small city, large city (250k+), large city (250k+), med/small city, large city (250k+), med/small city, suburb, med/small city, med/small city, large city (250k+), town/rural, large city (250k+), large city (250k+), large city (250k+), town/rural, large city (250k+), suburb, suburb, town/rural, med/small city, town/rural, town/rural, med/small city, large city (250k+), large city (250k+), med/small city, large city (250k+), med/small city, large city (250k+), large city (250k+), large city (250k+), large city (250k+), med/small city, town/rural, town/rural, med/small city, town/rural, med/small city, med/small city, med/small city, med/small city, med/small city, med/small city, town/rural, med/small city, suburb, large city (250k+), med/small city, suburb, med/small city, med/small city, med/small city, med/small city, suburb, med/small city, med/small city, med/small city, med/small city, med/small city, suburb, large city (250k+), town/rural, med/small city, suburb, suburb, med/small city, large city (250k+), town/rural, large city (250k+), med/small city, suburb, town/rural, med/small city, large city (250k+), suburb, med/small city, suburb, large city (250k+), town/rural, med/small city, large city (250k+), med/small city, med/small city, med/small city, large city (250k+), town/rural, town/rural, town/rural, large city (250k+), suburb, suburb, med/small city, large city (250k+), large city (250k+), suburb, suburb, suburb, suburb, suburb, suburb, suburb, med/small city
#> $ cipdig2                       <chr> "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52", "52"
#> $ cipcode                       <chr> "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", "5202", 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#> $ cipdesc                       <chr> "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administration, Management and Operations", "Business Administrat...
#> $ credlev                       <fct> Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Degree, Master's Deg...
#> $ creddesc                      <chr> "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "Master's Degree", "...
#> $ ipedscount1                   <dbl> 30, 115, 23, 95, 152, 210, 31, 23, 116, 44, 134, 42, 13, 444, 212, 118, 62, 123, 58, 15, 45, 66, 127, 22, 22, 168, 83, 24, 47, 55, 139, 17, 30, 55, 78, 168, 158, 103, 36, 43, 164, 155, 251, 862, 73, 126, 101, 73, 36, 12, 106, 11, 22, 370, 36, 37, 336, 37, 9, 44, 589, 79, 520, 211, 127, 73, 103, 114, 151, 162, 64, 640, 66, 29, 273, 91, 139, 67, 312, 44, 345, 96, 109, 29, 253, 21, 120, 148, 266, 65, 7, 67, NA, 159, 79, 56, 20, 372, 28, 85, 245, 81, 43, 49, 243, 374, 597, 34, 724, 25, 130, 232, 113, 706, 65, 134, 764, 127, 119, 65, 48, 164, 86, 24, 105, 77, 25, 399, 308, 15, 21, 103, 245, 37, 32, 100, 33, 142, 80, 120, 56, 14, 33, 87, 24, 91, 158, 48, 63, 17, 213, 434, 43, 65, 213, 215, 90, 77, 35, 110, 215, 468, 20, 79, 170, 49, 143, 69, 48, 43, 56, 65, 42, 102, 24, 63, 32, 74, 36, 48, 9, NA, 101, 40, 143, 64, 271, 44, 104, 105, 192, 45, 53, 97, 119, 45, 39, 43, 30, 87, 45, 44, 80, 51, 8, 66, 32, 128, 131, 51, 28, 76, 42, 24, 60, 44, 78, 68, 25, 19, 26, 49, 146, 0, 75, 42, 117, 122, 1934, 493, 76, 73, 40, 32, 31, 90, 86, 72, 239, 568, 140, 14, 94, 102, 32, 40, 219, 382, 124, NA, 36, 60, 22, 162, 111, 50, 74, 17, 23, 430, 338, 52, 40, 70, 44, 51, 787, 264, 65, 59, 117, 34, 27, 90, 166, 96, 72, 33, 93, 113, 72, 523, 45, 47, 160, 348, 50, 83, 27, 23, 194, 82, 19, 83, 22, 23, 93, 61, 45, 47, 29, 28, 18, 53, 42, 74, 53, 172, 158, 120, 56, 319, 407, 2045, 92, 52, 345, 73, 103, 87, 18, 23, 82, 122, 27, 24, 1408, 80, 23, 19, 62, 263, 20, 33, 56, 28, 30, 61, 108, 83, 34, 56, NA, 13, 134, 48, 74, 73, 95, 75, 175, 79, 18, 14, 144, 27, 103, 81, 158, 1205, 666, 130, 129, 37, 15, 11, 299, 74, 41, 24, 51, 57, NA, 58, 194, 53, 27, 9, 38, 1062, 208, 33, 28, 29, 120, 46, 60, 46, 36, 69, 126, 102, 101, 217, 71, 23, 29, 113, 71, 82, 162, 22, 17, 25, 62, 70, 191, 30, 40, 56, 45, 25, 16, 742, 128, 55, 32, 225, 53, 24, 83, 132, 291, 49, 56, 118, 32, 43, 31, 103, 183, 70, 21, 75, 159, 179, 218, 88, 195, 55, 61, 79, 18, 62, 53, 85, 24, 93, 344, 284, 49, 96, 43, 11, 66, 155, 138, 50, 78, 130, 45, 53, 140, 41, 118, 30, 47, 36, 43, 61, 33, 99, 159, 14, 94, 44, 34, 123, 58, 21, 10, 74, 54, 20, 33, 26, 19, 184, 75, 47, 49, NA, 38, 176, 57, 32, 35, 12, 21, 50, 88, 545, 103, 35, 49, 110, 42, 105, 27, 228, 373, 79, 78, 48, 77, 17, 8, 255, 87, 94, 63, 42, 71, 39, 46, 158, 48, 176, 52, 59, 51, 97, 32, 18, 36, 47, 52, 117, 73, 172, 28, 42, 133, 102, 103, 233, 38, 46, 77, 38, 66, NA, 26, 198, 58, 258, 206, 168, 62, 437, 51, 82, 283, 155, 287, 387, 63, 45, 33, 28, 20, 127, 102, 63, 331, 121, 99, 91, 28, 150, 10, 15, 107, 111, 43, 295, 303, 658, 337, 94, 350, 143, 100, 80, 276, 365, 216, 233, 228, 29, 126, 0, 298, 57, 114, 203, 179, 16, 182, 61, 21, 139, 29, 39, 1498, 36, 28, 43, 40, 35, 96, 102, 424, 208, 30, 152, 28, 40, 48, 237, 288, 407, 21, 33, 19, 34, 15, 172, 15, 135, 32, 115, 34, 105, 59, 55, 79, 243, 115, 45, 42, 120, 44, 159, 336, 89, 432, 46, 36, 75, 2336, 40, 40, NA, 38
#> $ ipedscount2                   <dbl> 27, 133, 23, 89, 185, 247, 74, 19, 182, 48, 126, 34, 28, 299, 214, 121, 66, 128, 42, 8, 65, 56, 99, 38, 38, 235, 91, 38, 33, 69, 134, 24, 34, 58, 69, 99, 168, 131, 43, 49, 114, 172, 231, 808, 94, 120, 117, 59, 25, 11, 80, 13, 29, 393, 20, 29, 282, 54, 17, 32, 608, 85, 426, 169, 132, 81, 132, 118, 131, 151, 62, 670, 74, 29, 290, 88, 152, 92, 307, 55, 297, 88, 108, 27, 277, 38, 101, 130, 267, 82, 17, 59, NA, 140, 631, 117, 16, 381, 20, 130, 240, 67, 41, 58, 274, 386, 620, 33, 715, 37, 138, 239, 110, 686, 39, 182, 771, 148, 126, 46, 76, 139, 126, 27, 68, 83, 26, 421, 347, 29, 37, 118, 255, 23, 40, 101, 64, 127, 58, 145, 60, 9, 35, 106, 36, 169, 192, 55, 70, 29, 195, 345, 54, 37, 211, 207, 78, 23, 25, 79, 243, 481, 27, 67, 177, 38, 123, 52, 56, 28, 71, 67, 38, 109, 45, 46, 48, 83, 144, 70, 6, NA, 78, 27, 139, 67, 321, 51, 70, 123, 142, 37, 50, 89, 179, 41, 43, 69, 37, 113, 34, 23, 48, 48, 16, 106, 45, 180, 147, 47, 26, 53, 27, 36, 60, 48, 46, 64, 28, 15, 39, 57, 132, 0, 70, 32, 137, 141, 2309, 499, 46, 67, 36, 28, 20, 70, 93, 131, 248, 598, 87, 17, 66, 96, 29, 61, 257, 418, 132, NA, 23, 31, 17, 135, 119, 54, 54, 34, 18, 394, 296, 52, 45, 54, 46, 51, 763, 304, 56, 68, 99, 36, 24, 87, 261, 98, 145, 49, 160, 123, 65, 492, 45, 32, 229, 263, 52, 94, 25, 27, 281, 77, 33, 88, 22, 25, 96, 54, 21, 55, 32, 29, 14, 61, 80, 56, 46, 187, 185, 98, 43, 287, 367, 1790, 73, 68, 294, 74, 95, 120, 16, 20, 80, 129, 27, 50, 2074, 41, 30, 0, 81, 228, 13, 27, 71, 51, 24, 99, 140, 66, 30, 80, NA, 17, 123, 57, 86, 95, 74, 84, 193, 54, 23, 22, 158, 29, 100, 79, 133, 1216, 684, 163, 151, 34, 6, 12, 258, 72, 45, 35, 59, 135, NA, 48, 222, 47, 34, 17, 48, 1078, 274, 26, 40, 41, 134, 42, 55, 55, 29, 88, 138, 137, 118, 189, 48, 25, 27, 75, 117, 75, 344, 25, 44, 18, 55, 58, 209, 39, 60, 50, 54, 28, 25, 793, 98, 50, 23, 261, 74, 27, 61, 77, 270, 31, 63, 135, 42, 27, 24, 64, 225, 94, 21, 62, 156, 197, 225, 72, 158, 63, 71, 57, 21, 60, 50, 70, 42, 67, 308, 361, 56, 86, 42, 9, 39, 163, 139, 61, 44, 117, 27, 22, 144, 113, 134, 55, 34, 37, 43, 85, 34, 82, 214, 11, 108, 57, 30, 128, 58, 26, 20, 75, 58, 23, 39, 42, 26, 153, 66, 40, 24, 35, 54, 188, 45, 37, 54, 18, 14, 34, 116, 549, 126, 41, 29, 124, 31, 104, 14, 358, 265, 57, 132, 57, 49, 8, 24, 266, 97, 90, 74, 58, 79, 26, 42, 188, 39, 182, 46, 77, 92, 69, 30, 17, 56, 32, 48, 137, 55, 103, 32, 58, 119, 78, 121, 224, 35, 38, 88, 37, 44, 24, 62, 202, 92, 240, 82, 154, 52, 375, 32, 82, 434, 175, 255, 405, 68, 67, 27, 28, 18, 143, 76, 69, 315, 95, 107, 79, 34, 185, 24, 16, 87, 109, 45, 302, 390, 645, 373, 99, 393, 129, 119, 58, 239, 356, 207, 279, 223, 38, 138, 18, 305, 88, 102, 259, 171, 23, 302, 103, 16, 137, 29, 38, 1468, 29, 44, 52, 47, 47, 135, 98, 463, 134, 48, 159, 33, 28, 32, 212, 289, 401, 55, 28, 13, 42, 23, 140, 37, 229, 28, 119, 33, 126, 50, 73, 86, 217, 119, 31, 62, 114, 49, 170, 307, 68, 374, 60, 19, 79, 3209, 34, 39, NA, 31
#> $ debt_all_stgp_eval_n          <dbl> 43, 70, 17, 39, 103, 139, 61, 14, 105, 10, 77, 22, 14, 409, 172, 123, 43, 97, 25, 11, 28, 39, 121, 16, NA, 110, 11, 16, 24, 65, 110, 10, 19, 38, 83, 71, 87, 99, 33, 40, 119, 123, 222, 509, 27, 59, 67, 48, 25, 15, 38, 14, 26, 116, 32, 57, 241, 41, 12, 11, 330, 77, 402, 73, 69, 46, 78, 34, 73, 120, 32, 464, 62, 25, 232, 73, 102, 64, 137, 26, 226, 57, 60, 17, 96, 13, 40, 17, 200, 30, 11, 74, NA, 69, 29, 121, 16, 226, 44, 60, 203, 64, 270, 56, 285, 146, 728, 38, 619, 18, 204, 170, 81, 874, 15, 130, 903, 186, 94, 27, 35, 80, 50, 41, 118, 85, 22, 160, 288, 26, 22, 86, 146, 26, 24, 97, 26, 49, 20, 106, 37, 15, 36, 105, 16, 112, 308, 24, 46, 20, 78, 435, 20, 22, 46, 128, 65, 48, 18, 57, 146, 121, 12, 70, 225, 15, 119, 63, 44, 33, 31, 33, 25, 116, 39, 14, 34, 53, 54, 43, 11, 475, 94, 30, 101, 50, 50, 32, 55, 86, 123, 21, 27, 111, 74, 15, 23, 56, 17, 73, 31, 16, 32, 12, 15, 48, 48, 70, 35, 25, 12, 68, 14, 12, 50, 64, 24, 31, 17, 12, 29, 39, 101, NA, 45, 16, 56, 67, 1463, 302, 40, 38, 22, 36, 17, 55, 43, 49, 124, 285, 56, 12, 32, 29, 31, 30, 79, 131, 65, 113, 10, 45, 40, 41, 82, 20, 21, 10, 14, 227, 369, 33, 42, 26, 19, 23, 527, 222, 27, 38, 44, 12, 32, 23, 130, 45, 101, 35, 203, 104, 61, 363, 26, 23, 180, 203, 42, 14, 12, 27, 285, 21, 30, 17, 14, 24, 48, 23, 15, 42, 18, 18, 18, 52, 36, 71, 31, 150, 103, 56, 26, 30, 231, 1030, 75, 44, 284, 47, 44, 40, 20, 11, 65, 64, 25, 11, 1836, 36, 11, 15, 47, 184, 11, 33, 46, 31, 18, 62, 122, 55, 15, 33, 354, 14, 23, 38, 34, 33, 55, 65, 113, 45, 27, 17, 62, 32, 77, 57, 59, 679, 432, 110, 79, 35, 10, 13, 201, 47, 18, 32, 41, 104, NA, 31, 283, 46, 36, 10, 39, 698, 23, 25, 22, 35, 76, 42, 52, 53, 58, 79, 73, 74, 81, 133, 30, 20, 13, 80, 30, 64, 227, 16, 28, 11, 53, 47, 93, 36, 13, 53, 39, 24, 34, 615, 73, 34, 31, 157, 44, 29, 83, 102, 284, 21, 48, 49, 28, 13, 11, 39, 83, 65, 25, 43, 97, 79, 187, 32, 80, 32, 41, 46, 17, 67, 34, 34, 36, 41, 172, 338, 19, 28, 52, 11, 65, 114, 93, 47, 73, 188, 21, 19, 38, 26, 62, 26, 21, 15, 42, 83, 26, 40, 93, 16, 85, 32, 18, 39, 70, 26, 15, 96, 60, 12, 30, 18, 12, 114, 66, 20, 43, NA, 33, 51, 29, 13, 10, 25, 13, 44, 264, 192, 98, 37, 21, 80, 39, 81, 21, 268, 217, 43, 20, 28, 41, 10, 13, 338, 32, 38, 41, 55, 84, 33, 44, 131, 24, 136, 50, 55, 43, 55, 18, 15, 25, 27, 43, 121, 43, 166, 28, 13, 69, 77, 102, 102, 33, 38, 46, 40, 29, 13, 31, 175, 85, 113, 126, 146, 50, 328, 41, 53, 430, 133, 189, 297, 34, 36, 39, 25, 13, 79, 109, 89, 159, 120, 46, 63, 15, 99, 16, 11, 68, 96, 34, 206, 112, 515, 260, 89, 363, 88, 114, 73, 224, 317, 49, 39, 174, 23, 126, 12, 331, 29, 97, 99, 131, 23, 273, 85, 11, 126, 17, 15, 1422, 12, 14, 42, 29, 29, 107, 80, 130, 95, 37, 145, 23, 35, 26, 93, 173, 319, 32, 24, 15, 36, 22, 133, 14, 79, 20, 104, 28, 66, 52, 47, 26, 205, 73, 20, 31, 190, 77, 194, 139, 63, 120, 46, 28, 97, 2793, 15, 37, NA, 17
#> $ debt_all_stgp_eval_mean       <dbl> 52786, 34809, 57391, 23490, 33702, 45043, 25746, 23741, 34435, 36208, 35222, 18609, 32751, 53331, 46475, 37774, 39396, 36890, 33280, 27041, 18850, 50917, 33947, 24395, 45105, 25055, 44637, 28459, 24194, 29764, 44983, 32450, 27309, 25364, 35740, 32847, 32289, 40489, 33635, 35518, 31341, 78722, 75797, 94907, 69106, 92329, 77683, 33909, 42056, 28494, 43593, 49884, 18474, 55271, 48004, 43432, 39166, 45746, 38245, 45086, 85488, 40573, 41659, 53791, 53606, 49740, 64014, 33097, 63320, 66197, 33413, 90863, 55190, 41696, 54107, 45864, 52606, 32775, 43079, 47627, 45702, 38925, 43672, 31072, 50394, 30353, 28170, 23286, 32094, 26086, 26219, 33155, 24887, 32145, 32454, 82305, 34523, 73706, 44196, 46170, 31836, 40832, 38774, 33781, 41299, 37229, 61948, 35219, 42288, 35796, 53568, 78441, 32532, 58397, 30191, 48737, 49500, 34506, 42128, 41970, 28529, 37387, 30974, 41615, 45059, 36864, 30022, 67654, 72904, 24888, 27313, 29145, 60313, 23945, 35938, 24516, 36818, 48243, 40165, 37046, 29206, 46580, 33792, 32889, 30407, 32987, 49858, 19189, 31184, 47748, 51612, 37560, 25983, 35058, 40212, 70801, 29099, 43536, 44064, 29802, 35565, 115085, 16352, 29532, 29769, 33538, 45919, 58676, 32370, 54106, 37186, 26607, 27378, 36660, 27910, 37614, 21798, 29759, 21150, 25933, 22667, 43581, 26771, 71324, 18044, 31717, 36016, 40108, 47005, 39826, 40447, 18969, 26622, 37559, 28375, 19449, 37964, 33223, 16158, 33456, 30106, 30300, 22733, 39674, 25646, 16495, 28062, 33261, 42167, 19390, 19161, 31462, 21920, 28040, 23919, 52835, 31409, 86004, 22514, 26949, 28120, 24223, 50206, 43302, 29451, 29447, 42303, 52451, 48683, 71997, 36372, 23299, 22413, 25905, 21519, 25897, 35295, 32001, 54629, 54938, 65071, 25152, 29275, 31584, 39962, 16356, 29783, 35909, 31521, 38243, 27982, 63481, 27333, 32099, 55207, 30851, 42877, 11534, 49477, 34620, 45588, 58395, 44508, 29613, 30226, 53963, 75835, 49492, 34958, 40484, 34826, 40699, 28953, 30867, 37314, 40331, 39848, 40789, 32907, 44973, 41362, 61641, 29747, 29565, 33201, 46539, 44147, 24935, 26959, 55318, 46665, 22669, 25431, 21836, 40450, 36810, 28308, 24687, 28327, 30220, 24508, 20174, 26806, 41010, 30288, 33408, 18760, 36312, 30871, 42197, 18464, 23271, 83004, 48541, 17022, 37627, 46041, 25245, 27993, 35220, 17646, 17483, 41433, 24577, 24658, 33552, 41764, 43370, 21463, 30603, 35516, 32413, 33066, 26841, 29738, 34036, 38519, 26480, 38773, 52577, 39986, 37756, 58003, 37905, 37490, 27611, 27858, 32282, 30592, 27982, 32262, 25228, 33775, 35911, 37825, 31189, 35251, 38878, 45583, 96404, 103940, 41180, 21140, 25494, 35206, 36967, 61366, 68684, 36160, 29684, 24488, 62378, 31142, 32158, 39417, 30826, 30448, 64540, 65931, 108756, 50291, 28032, 57033, 39780, 46166, 35910, 20740, 31115, 33376, 38691, 39279, 31091, 24906, 39714, 50457, 30777, 22549, 26815, 49652, 38874, 72043, 36839, 26327, 43400, 24066, 29088, 30560, 53096, 31770, 34639, 34416, 40033, 37718, 82256, 35172, 29126, 72096, 39131, 34506, 32838, 31445, 47404, 58952, 29195, 28638, 26845, 17049, 17792, 19643, 47648, 30553, 35432, 40630, 37093, 67417, 36609, 36710, 19834, 30131, 27525, 45112, 30257, 37933, 25934, 30825, 29624, 27384, 34061, 54667, 38101, 27889, 45084, 29725, 30993, 34975, 40584, 35144, 27664, 31741, 32434, 36115, 25023, 23724, 41289, 43076, 21864, 27464, 17326, 28483, 38628, 30467, 46301, 70112, 48357, 43448, 41931, 30620, 38096, 31265, 23027, 24826, 29559, 36562, 43186, 32164, 29922, 39198, 44934, 37548, 33003, 30400, 30482, 33840, 27606, 40893, 20648, 39964, 32382, 41948, 31087, 41759, 75053, 36322, 33409, 35952, 40743, 38313, 24394, 22725, 59699, 42594, 21986, 23543, 43508, 35725, 30131, 28761, 26780, 23146, 32884, 18177, 32904, 37679, 28439, 39577, 38175, 23277, 42920, 23958, 32480, 23774, 25994, 29779, 40278, 24717, 31936, 24026, 42679, 27956, 36097, 25231, 46243, 37355, 29851, 31972, 42392, 31782, 32137, 18227, 19862, 40209, 38262, 21266, 61912, 37470, 15825, 51231, 53082, 17257, 30727, 38897, 33687, 36036, 37176, 40793, 38107, 25813, 19386, 42643, 28292, 26507, 25568, 40349, 41495, 37571, 46381, 42706, 32291, 29374, 98533, 33095, 24289, 23171, 31691, 18003, 42279, 34786, 76933, 43771, 33542, 32722, 48179, 33228, 55101, 36602, 30959, 39901, 32213, 34769, 17187, 29524, 27924, 47357, 28833, 46724, 23823, 41805, 41646, 53205, 46077, 17807, 45767, 28066, 33612, 35797, 20011, 38678, 60317, 34468, 34692, 42354, 48268, 93771, 45479, 29541, 39559, 37081, 40758, 42205, 48903, 40953, 56548, 30873, 32321, 28296, 27806, 28736, 34497, 23523, 31949, 39286, 36781, 33436, 48567, 31157, 36686, 34211, 31152, 31396, 24716, 34723, 38253, 28452, 30343, 48169, 39162, 50094, 37850, 38400, 40744, 14716, 18275, 33804, 24491, 33735
#> $ debt_all_stgp_eval_mdn        <dbl> 50311, 30624, NA, 20004, 35889, 41000, 27500, NA, 34250, NA, 30750, 15400, NA, 44700, 41000, 29753, 40557, 38677, 33286, NA, 20500, 34760, 29743, NA, 46431, 23917, NA, NA, 23414, 31035, 43700, NA, 27500, 20500, 39656, 30728, 34166, 41000, 38662, 31756, 30750, 81000, 72389, 86864, 52347, 94019, 78548, 32699, 41000, NA, 41000, NA, 20500, 51548, 43380, 40500, 40394, 46750, NA, NA, 91630, 41000, 41000, 53604, 47808, 49626, 49450, 31500, 63550, 59380, 41000, 79041, 51250, 43252, 52152, 39681, 51807, 32518, 42500, 44866, 41000, 39934, 41000, NA, 41000, NA, 20500, NA, 30393, 20500, NA, 34572, NA, 30750, 32500, 85000, NA, 65500, 45001, 41000, 29871, 39801, 34560, 33750, 41000, 32000, 61469, 36958, 38524, NA, 53024, 77865, 30750, 51250, NA, 41000, 54454, 31158, 27142, 39448, 30048, 40678, 28646, 40308, 41000, 41000, 30842, 61500, 79888, 20206, 22000, 29000, 58726, 20833, 32950, 20500, 35398, 45836, 41000, 40529, 23451, NA, 36149, 32825, NA, 30509, 48500, 18178, 31025, 51250, 49500, 34580, 25200, 40100, 35778, 61500, 29015, 41000, NA, 29700, 32046, 106803, NA, 33900, 28500, NA, 42300, 50607, 31626, 50718, 40516, 19485, 20794, 36960, 29303, NA, 24458, 30893, 18516, 26739, NA, 45581, 25028, 50048, 14500, 29964, 40268, 39964, 45641, 46322, 43770, 19706, 23774, 40916, 28930, NA, 31727, 35933, NA, 38525, 30050, NA, 21000, NA, NA, 13098, 25991, 30750, 41000, 18007, NA, 34750, NA, NA, 21054, 51250, 30750, 98616, NA, NA, 20298, 20500, 41000, NA, 20800, NA, 39000, 50339, 46000, 68411, 39210, 20945, 23014, 22926, NA, 24163, 36979, 27502, 46711, 49318, 65000, NA, 27255, 20500, 41000, 17307, 27257, 32926, 30750, 37380, NA, 61500, 26262, 20500, 50646, 27333, 41000, NA, NA, 34689, 34000, 36722, 40007, 32280, 36805, 57796, 51250, 51250, 31596, 37294, 34100, NA, 30519, 27333, 38000, 36500, 37199, 41000, 36083, 41000, 38622, 60249, 34075, 27934, 33885, 43105, 44200, NA, NA, 41000, 47706, 23983, 20500, NA, NA, 31000, 20500, 25800, NA, 32197, NA, NA, NA, 41000, 28700, 32295, 18622, 34687, 27200, 40000, 17916, 20350, 77292, 46812, 16615, 31353, 41000, 26041, 28895, 33933, 17300, NA, 37106, 20500, 25570, NA, 40969, 41000, NA, NA, 40692, 30166, NA, 28072, 28750, 36500, NA, 20500, 40902, 50352, NA, 34750, 53414, NA, 34732, 21558, 27768, 32238, 30550, 27462, 29017, 22801, 34166, NA, 35750, 30500, 34167, 42729, 38500, 69500, 111446, 40977, 18580, 23174, NA, NA, 50451, 59132, NA, 33258, 20500, 65000, 31721, 26720, 35875, 30500, 27417, NA, 57930, 95353, 41000, 27750, 61500, 41000, 45268, 35826, 20500, 30500, 30500, 30290, 33672, 31874, 20500, 40000, 38523, 30750, NA, 22747, 51935, 34029, 70653, NA, 25000, NA, 20602, 24375, 25500, 49805, NA, 34839, 34240, 41000, 40316, 74873, 31486, 30574, 60065, 41000, 40445, 30761, 33698, 41814, 57519, 28910, 30193, 29029, 15780, NA, NA, 39806, 26252, 36659, 43491, 33705, 65000, 30750, 34962, 19092, 28518, 20500, 38605, 28607, NA, 25978, 33077, 32675, 24787, 30216, 47440, 41000, 30833, 41525, 30750, NA, 31333, 34133, 35004, 26584, 34166, 36163, 35500, 25356, 17197, 33069, 40460, 22851, 29473, NA, 31000, 41000, 29542, 37249, 70874, NA, 41000, 44312, NA, 41325, 29202, 23500, NA, 27533, 39220, NA, 30149, NA, NA, 42993, 41000, 36343, 32894, 35500, 35875, 26500, 29035, NA, NA, 33821, NA, 34123, 41000, 41000, 36114, 30000, 30750, 42553, 26500, 21195, 20500, 44750, 39907, 22705, 20500, 41000, 37289, NA, NA, 27735, 20500, 30750, 17490, 33848, 37848, 30871, 40808, 39057, 23756, 41000, 20500, 33322, 20500, 20992, NA, NA, 25414, 36527, 25546, 36614, 25281, 41000, 25525, NA, 29011, 26200, 30394, 38500, 29194, 28959, 12725, 17574, 30069, NA, 20500, 57000, 41000, 15199, 51250, 54678, 15488, 27956, 41000, 32302, 40370, 34724, 41000, 37584, 27582, 17800, 42173, 28577, NA, 21350, 41000, 41000, 30750, 43750, 41000, 34961, NA, 90123, NA, NA, 20359, 29604, 18000, 36453, 29203, 82067, 41200, 34418, 34166, 41000, 24666, 53184, 36979, 30552, 36995, 33245, 41000, 13850, 28000, NA, 41000, 30000, 44417, 20500, 39350, 44879, 47060, 41000, NA, 40899, NA, NA, 34166, NA, NA, 61500, 30750, 34936, 35682, 41000, 85690, 47559, 29892, 34644, 40999, 41208, 41000, 41000, 37500, 55437, 30200, 34167, NA, 22500, 29122, 37649, NA, 25319, 36832, 40940, 35500, 37474, 28840, 32650, 37824, 25823, 32720, 25194, 30731, 36007, 29172, 29917, 43811, 41000, 52120, 39940, 30000, 41470, 13319, NA, 30978, 22866, NA
#> $ debt_all_stgp_eval_mdn10yrpay <dbl> 517, 314, NA, 205, 368, 421, 282, NA, 352, NA, 316, 158, NA, 459, 421, 305, 416, 397, 342, NA, 210, 357, 305, NA, 477, 246, NA, NA, 240, 319, 449, NA, 282, 210, 407, 316, 351, 421, 397, 326, 316, 832, 743, 892, 537, 965, 807, 336, 421, NA, 421, NA, 210, 529, 445, 416, 415, 480, NA, NA, 941, 421, 421, 550, 491, 510, 508, 323, 653, 610, 421, 812, 526, 444, 535, 407, 532, 334, 436, 461, 421, 410, 421, NA, 421, NA, 210, NA, 312, 210, NA, 355, NA, 316, 334, 873, NA, 673, 462, 421, 307, 409, 355, 347, 421, 329, 631, 379, 396, NA, 544, 799, 316, 526, NA, 421, 559, 320, 279, 405, 309, 418, 294, 414, 421, 421, 317, 631, 820, 207, 226, 298, 603, 214, 338, 210, 363, 471, 421, 416, 241, NA, 371, 337, NA, 313, 498, 187, 319, 526, 508, 355, 259, 412, 367, 631, 298, 421, NA, 305, 329, 1097, NA, 348, 293, NA, 434, 520, 325, 521, 416, 200, 214, 379, 301, NA, 251, 317, 190, 275, NA, 468, 257, 514, 149, 308, 413, 410, 469, 476, 449, 202, 244, 420, 297, NA, 326, 369, NA, 396, 309, NA, 216, NA, NA, 134, 267, 316, 421, 185, NA, 357, NA, NA, 216, 526, 316, 1013, NA, NA, 208, 210, 421, NA, 214, NA, 400, 517, 472, 702, 403, 215, 236, 235, NA, 248, 380, 282, 480, 506, 667, NA, 280, 210, 421, 178, 280, 338, 316, 384, NA, 631, 270, 210, 520, 281, 421, NA, NA, 356, 349, 377, 411, 331, 378, 593, 526, 526, 324, 383, 350, NA, 313, 281, 390, 375, 382, 421, 370, 421, 397, 619, 350, 287, 348, 443, 454, NA, NA, 421, 490, 246, 210, NA, NA, 318, 210, 265, NA, 331, NA, NA, NA, 421, 295, 332, 191, 356, 279, 411, 184, 209, 794, 481, 171, 322, 421, 267, 297, 348, 178, NA, 381, 210, 263, NA, 421, 421, NA, NA, 418, 310, NA, 288, 295, 375, NA, 210, 420, 517, NA, 357, 548, NA, 357, 221, 285, 331, 314, 282, 298, 234, 351, NA, 367, 313, 351, 439, 395, 714, 1144, 421, 191, 238, NA, NA, 518, 607, NA, 341, 210, 667, 326, 274, 368, 313, 282, NA, 595, 979, 421, 285, 631, 421, 465, 368, 210, 313, 313, 311, 346, 327, 210, 411, 396, 316, NA, 234, 533, 349, 725, NA, 257, NA, 212, 250, 262, 511, NA, 358, 352, 421, 414, 769, 323, 314, 617, 421, 415, 316, 346, 429, 591, 297, 310, 298, 162, NA, NA, 409, 270, 376, 447, 346, 667, 316, 359, 196, 293, 210, 396, 294, NA, 267, 340, 335, 255, 310, 487, 421, 317, 426, 316, NA, 322, 350, 359, 273, 351, 371, 365, 260, 177, 340, 415, 235, 303, NA, 318, 421, 303, 382, 728, NA, 421, 455, NA, 424, 300, 241, NA, 283, 403, NA, 310, NA, NA, 441, 421, 373, 338, 365, 368, 272, 298, NA, NA, 347, NA, 350, 421, 421, 371, 308, 316, 437, 272, 218, 210, 459, 410, 233, 210, 421, 383, NA, NA, 285, 210, 316, 180, 348, 389, 317, 419, 401, 244, 421, 210, 342, 210, 216, NA, NA, 261, 375, 262, 376, 260, 421, 262, NA, 298, 269, 312, 395, 300, 297, 131, 180, 309, NA, 210, 585, 421, 156, 526, 561, 159, 287, 421, 332, 415, 357, 421, 386, 283, 183, 433, 293, NA, 219, 421, 421, 316, 449, 421, 359, NA, 925, NA, NA, 209, 304, 185, 374, 300, 843, 423, 353, 351, 421, 253, 546, 380, 314, 380, 341, 421, 142, 287, NA, 421, 308, 456, 210, 404, 461, 483, 421, NA, 420, NA, NA, 351, NA, NA, 631, 316, 359, 366, 421, 880, 488, 307, 356, 421, 423, 421, 421, 385, 569, 310, 351, NA, 231, 299, 387, NA, 260, 378, 420, 365, 385, 296, 335, 388, 265, 336, 259, 316, 370, 300, 307, 450, 421, 535, 410, 308, 426, 137, NA, 318, 235, NA
#> $ earn_count_wne_hi_1yr         <dbl> 45, 87, NA, 57, 119, 177, 32, 12, 94, 15, 129, 22, 19, 608, 208, 161, 49, 91, 37, NA, 25, 58, 151, 32, 117, 73, 12, NA, 53, 52, 128, 18, 22, 44, 91, 86, 92, 85, 24, 37, 173, 76, 290, 733, 18, 78, 75, 52, 17, NA, 63, 15, 22, 260, 36, 58, 303, 38, NA, 25, 369, 68, 416, 81, 105, 55, 80, 71, 104, 172, 47, 501, 70, 28, 287, 68, 144, 62, 265, NA, 333, 83, 65, 23, 217, NA, 132, 17, 262, 62, 18, 78, 20, 111, 80, 76, 16, 307, 48, 76, 208, 75, 326, 48, 299, 277, 655, 41, 799, 14, 192, 211, 109, 824, 46, 157, 895, 287, 90, 46, 33, 90, 56, 47, 121, 94, 30, 197, 322, 16, 34, 104, 157, 52, 28, 135, 21, 78, 41, 118, 59, 17, 35, 115, 23, 84, 357, 50, 51, 25, 107, 403, 30, 13, 56, 138, 103, 82, 46, 71, 218, 118, 11, 86, 168, 26, 156, 89, 50, 43, 49, 56, 48, 133, 25, 19, 23, 62, 34, 38, 13, 631, 106, 27, 141, 70, 200, 52, 123, 69, 344, 25, 43, 138, 100, 47, 32, 59, 31, 72, 40, 24, 65, NA, NA, 52, 42, 67, 39, 34, 14, 108, 20, 21, 59, 46, 58, 41, 28, 21, 26, 50, 109, 12, 79, 24, 71, 125, 1575, 409, 48, 71, 39, 45, NA, 115, 33, 48, 201, 371, 91, 16, 40, 69, 28, 35, 139, 330, 89, 78, 24, 81, 47, 50, 89, 58, 56, NA, 22, 301, 374, 37, 48, 47, 56, 57, 648, 230, 63, 44, 92, 22, 39, NA, 151, 108, 78, 79, 188, 113, 56, 275, 21, 45, 156, 351, 41, 30, 17, 19, 240, 13, 23, 52, 15, 19, 71, 48, 30, 40, 43, 24, 25, 69, 74, 93, 51, 91, 130, 89, 37, 50, 273, 1521, 138, 41, 349, 63, 117, 80, 17, 24, 69, 109, 26, 16, 1841, 64, 15, 22, 80, 200, 24, 36, 58, 20, 29, 101, 122, 65, 38, 46, 410, 15, 30, 49, 57, 70, 70, 66, 155, 39, 18, 18, 103, 36, 100, 93, 108, 723, 474, 136, 66, 44, 17, 14, 274, 54, 26, 35, 81, 102, 32, 61, 225, 41, 34, NA, 43, 980, 22, 42, 28, 12, 88, 44, 87, 60, 65, 100, 93, 85, 102, 183, 60, 13, 32, 112, 55, 71, 163, 11, NA, 31, 58, 62, 117, 24, 20, 58, 39, 36, 19, 678, 93, 49, 28, 171, 39, 17, 100, 88, 340, 46, 52, 57, 22, 38, 25, 77, 158, 106, 36, 75, 127, 127, 222, 63, 84, 61, 62, 91, 33, 77, 46, 31, 24, 50, 267, 362, 17, 47, 49, 19, 77, 119, 113, 59, 77, 163, 48, 35, 67, 24, 82, 37, 30, 27, 21, 83, 29, 35, 149, 18, 84, 48, 28, 105, 81, 20, 14, 94, 58, 16, 40, 37, 25, 208, 44, 57, 51, 61, 36, 58, 75, 40, 24, NA, 21, 37, 405, 313, 153, 43, 30, 101, 61, 111, 28, 254, 221, 87, 55, 29, 69, 25, 18, 310, 82, 72, 71, 42, 101, 16, 37, 117, NA, 186, 72, 64, 39, 96, 23, 17, 24, 54, 39, 148, 60, 124, 35, 20, 118, 103, 116, 154, 33, 45, 72, 48, 71, NA, 28, 157, 66, 130, 139, 171, 45, 463, 68, 85, 215, 157, 255, 361, 25, 61, 41, 29, 18, 102, 122, 79, 229, 120, 53, 103, 17, 117, NA, 19, 112, 122, 92, 289, 175, 649, 323, 107, 378, 140, 122, 99, 251, 491, 39, NA, 259, 25, 172, NA, 311, 37, 120, 109, 107, 12, 247, 49, NA, 175, 16, 42, 1725, 20, 29, 37, 41, 23, 97, 112, 172, 125, 34, 192, 20, 43, 37, 151, 228, 475, 31, 29, 16, 29, 28, 187, 23, 81, 28, 144, 36, 130, 69, 68, 79, 269, 83, 38, 23, 154, 50, 174, 163, 78, 196, 59, 36, 97, 2462, 37, 50, 47, 29
#> $ earn_mdn_hi_1yr               <dbl> 40737, 67202, NA, 68499, 81031, 107636, 45529, 53358, 66686, 65053, 60240, 58673, 82882, 98670, 97211, 63377, 67101, 127000, 59986, NA, 57318, 54948, 71255, 55286, 62756, 63005, 79450, NA, 68499, 66573, 73378, 82440, 61814, 63749, 84161, 76460, 78719, 74063, 101406, 95739, 74576, 108244, 103705, 150453, 55338, 109763, 78134, 63005, 71575, NA, 114223, 122038, 55512, 75573, 62260, 71435, 65310, 77401, NA, 67420, 99335, 64493, 74641, 79284, 92410, 76460, 98403, 98213, 133919, 109763, 74200, 128506, 69897, 37208, 89790, 67660, 81391, 59124, 94851, NA, 71575, 65984, 54109, 74576, 115897, NA, 91211, 52524, 69218, 76930, 60320, 63997, 69338, 92885, 58866, 89130, 48823, 112701, 63600, 54531, 45665, 50606, 75957, 53608, 67660, 76325, 69119, 61814, 89535, 81812, 41193, 76041, 69967, 56329, 58221, 66062, 56796, 69032, 50606, 65131, 51106, 60485, 55964, 40402, 58173, 52107, 54035, 130046, 127602, 57318, 64990, 73635, 105167, 41937, 53108, 60920, 64493, 75623, 64990, 76773, 62579, 90412, 71486, 67273, 72796, 58221, 101406, 53984, 73041, 76460, 81807, 72685, 70176, 91744, 61218, 84653, 60452, 68219, 71351, 62012, 93555, 160423, 63005, 53244, 54442, 74200, 60275, 52789, 74307, 62012, 57318, 70176, 66325, 69338, 48198, 97071, 54435, 74576, 61516, 69338, 43798, 66941, 63855, 68666, 64865, 79473, 97959, 71575, 82440, 72719, 69146, 63005, 55286, 58221, 82238, 67660, 66045, 54192, 46478, 65131, 55713, 69338, 71015, NA, NA, 50856, 47260, 52420, 60878, 60839, 53358, 60399, 54635, 78343, 50856, 44942, 52107, 104749, 55036, 74576, 60771, 50231, 79473, 70456, 73769, 69338, 105083, 93646, 74230, 108154, 56234, 65089, 55964, 41789, NA, 64940, 55108, 102409, 115060, 111713, 73949, 63005, 63005, 70112, 77401, 75921, 83270, 109492, 77401, 62632, 79450, 76083, 47260, 63005, 72902, 72605, 122038, NA, 52107, 66631, 62674, 64990, 61888, 109095, 65486, 91078, 140364, 100951, 97071, 71854, 90146, 55338, 57995, NA, 80004, 77297, 74576, 82882, 78971, 74262, 57318, 115006, 67362, 81333, 75352, 107198, 77715, 53629, 52107, 38289, 47025, 41007, 46478, 70009, 31670, 63005, 79598, 49136, 52941, 53472, 53608, 55964, 49621, 54585, 57318, 54739, 48901, 61888, 68666, 81491, 55964, 71392, 112939, 65476, 54621, 61516, 75405, 74576, 80082, 83768, 44170, 71575, 93816, 79884, 58673, 62012, 68321, 60771, 69338, 70456, 87309, 76729, 70009, 60298, 77087, 64196, 59124, 67660, 89613, 84653, 100690, 90264, 112363, 57318, 114225, 56931, 82440, 68666, 71854, 54296, 64196, 52941, 69338, 55964, 68047, 34420, 62756, 68422, 52492, 166356, 155273, 101494, 54534, 55211, 51273, 67660, 108092, 105863, 47260, 61020, 56276, 61651, 71015, 84653, 61859, 66449, 56641, NA, 54109, 150006, 63005, 59648, 109763, 57318, 66049, 55078, 54470, 54769, 66293, 58402, 63898, 71575, 68499, 76208, 60185, 52107, 56776, 59288, 72325, 75706, 93768, 48041, NA, 57318, 54109, 56931, 63275, 76460, 50856, 56234, 50856, 53775, 53358, 135907, 82440, 66728, 53775, 86997, 61814, 52107, 61859, 87309, 81491, 89968, 68079, 61516, 41349, 73949, 63005, 73231, 73500, 89841, 81997, 80234, 81836, 79284, 67918, 64150, 65238, 64493, 75518, 60623, 48823, 56641, 99960, 43426, 59350, 61303, 98720, 89083, 52107, 70596, 72762, 63005, 68079, 68708, 83848, 80166, 57860, 55456, 57770, 69338, 72274, 81333, 106421, 61177, 54035, 57995, 61516, 76460, 55964, 63005, 82808, 57318, 91539, 67995, 58221, 82756, 66287, 55964, 54713, 55964, 63997, 63005, 65332, 63749, 94408, 65238, 53045, 62579, 48432, 62012, 84653, 61020, 82756, 79284, 120549, NA, 47846, 59045, 95618, 179111, 57149, 61516, 50606, 91502, 55964, 67660, 54869, 110109, 108265, 75204, 87815, 59485, 55693, 66821, 78971, 51690, 65734, 82440, 61681, 58943, 63749, 51273, 57318, 72983, NA, 102902, 49883, 57017, 61064, 77144, 50856, 54713, 52941, 75330, 57995, 58402, 52107, 49527, 44021, 52107, 75282, 64493, 76460, 102743, 57318, 53984, 63997, 60523, 72860, NA, 55286, 100087, 69897, 68858, 62546, 73486, 48041, 75097, 71575, 82756, 66772, 70680, 99069, 62528, 53358, 46254, 58673, 61020, 60433, 86036, 58221, 64493, 128149, 74200, 65486, 73852, 72482, 111769, NA, 56415, 68548, 64150, 59576, 105083, 73164, 137496, 95317, 63005, 73787, 108532, 75204, 59350, 84653, 67524, 63005, NA, 121825, 64493, 83704, NA, 100554, 81491, 83915, 79284, 79150, 58673, 69165, 56234, NA, 102902, 67660, 105465, 60729, 69338, 74200, 87604, 63005, 62260, 121046, 93467, 173400, 81886, 46478, 85243, 57318, 64990, 57318, 91211, 98551, 135440, 62012, 63997, 35416, 62409, 61218, 69338, 66915, 73399, 73949, 65524, 63005, 100738, 57318, 84653, 83388, 64295, 79541, 77715, 73949, 35351, 32806, 37208, 96288, 54509, 71575, 72274, 51607, 77297, 71819, 71015, 83388, 63997, 65657
#> $ earn_count_wne_hi_2yr         <dbl> 37, 74, NA, NA, 95, 131, 11, NA, 72, 12, 109, 16, 13, 552, 148, 172, 34, 54, 31, NA, 13, 50, 73, 27, 121, 32, NA, NA, 52, 62, 91, 19, 25, 33, 85, 72, 53, 58, 21, 36, 182, 108, 159, 654, 14, 70, 82, 37, NA, 14, 50, NA, NA, 272, 21, 35, 222, 48, NA, 13, 376, 24, 258, 37, 116, 49, 90, 35, 105, 134, 46, 638, 95, 12, 266, 69, 165, 43, 161, 32, 278, 80, 28, 22, 174, NA, 105, NA, 164, 41, 16, 52, NA, 35, 37, 73, 13, 370, 46, 99, 136, NA, 166, 36, 216, 247, 681, 34, 717, NA, 217, 185, 94, 590, 76, 128, 717, 223, 67, 54, 29, 30, 59, 34, 46, 66, 23, 170, 293, 16, NA, 87, 130, 51, 23, 83, 27, 81, 22, 100, 37, 14, 21, 78, 18, 76, 316, 34, 46, 29, 88, 150, 28, NA, 150, 94, 80, 66, 35, 90, 192, 116, NA, 55, 88, 23, 136, 79, 30, 43, 64, 43, 29, 131, 15, NA, NA, 42, 19, 20, NA, 504, 88, 22, 86, 42, 193, 40, 104, 30, 358, 15, 39, 82, 45, 44, 14, 38, 21, 41, 33, 13, 34, NA, NA, 18, 16, 48, 33, 16, 15, 120, 25, 19, 42, 52, 53, 53, 13, NA, 16, 55, 31, NA, 43, 21, 61, 133, 1384, 287, 47, 67, 26, 30, 23, 93, 34, 51, 189, 313, 52, 16, NA, 62, 31, 35, 68, 218, 69, 54, 14, 82, 17, 21, 71, 43, 43, 21, 16, 251, 246, 37, 30, 33, 59, 45, 626, 128, 54, 19, 70, 18, 27, NA, 134, 109, 58, 64, 142, 95, 52, 89, NA, 32, 144, 297, 31, 30, NA, NA, 220, 16, 21, NA, 14, 18, 47, 24, 17, 34, 42, 16, 31, 40, 44, 73, 41, 19, 104, 89, 19, 59, 122, 1114, 99, 47, 205, 54, 124, 79, 15, 12, 71, 93, 15, 17, 1017, 38, 15, 18, 104, 173, NA, 21, 36, 25, 20, 94, 53, 56, 29, 35, 201, NA, 28, 35, 56, 42, 46, 59, 108, NA, NA, 12, 62, 22, 73, 66, 76, 665, 466, 117, 19, 43, 13, NA, 249, 46, 22, 22, 63, 104, 19, 52, 143, 26, 35, NA, 51, 942, 17, 26, 24, NA, 50, 35, 72, 22, 49, 84, 81, 38, 73, 99, 47, 16, 23, 46, 37, 46, 45, NA, NA, 28, 43, 63, 110, 30, 19, 39, 19, 40, 14, 315, 70, 44, 20, 74, 23, 11, 54, 37, 289, 33, 58, 29, 13, 18, 21, 46, 115, 96, 56, 48, 116, 60, 250, 53, 52, 40, 60, 67, 35, 82, 31, 33, NA, 35, 224, 305, NA, 37, 26, 14, 58, 56, 78, 45, 23, 75, 48, 27, 27, 37, 57, 16, 13, 19, NA, 94, NA, 30, 99, NA, 82, 38, 19, 100, 72, NA, NA, 57, 21, 25, 45, 37, 25, 129, 21, 51, 17, 33, 38, 50, 43, 40, 17, NA, 14, 19, 376, 270, 176, 35, NA, 113, 46, 81, 28, 167, 89, 59, 37, 16, 59, 11, 13, 220, 63, NA, 75, 37, 74, 21, 13, 99, NA, 154, 46, 59, 28, 58, 14, 15, 19, 61, 25, 103, 23, 31, 18, 12, 118, 64, 84, 159, 18, 36, 46, 48, 50, NA, NA, 106, 43, 25, 129, 186, 31, 355, 35, 78, 38, 151, 265, 314, 21, 66, 29, 18, 15, 84, 82, 53, 194, 103, 21, 94, NA, 113, NA, 14, 87, 118, 130, 272, 165, 591, 210, 78, 185, 125, 90, 89, 170, 446, 37, NA, 199, 22, 100, NA, 113, 38, 112, 45, 111, NA, 201, 26, NA, 138, 32, 39, 1359, NA, 28, 27, 20, 16, 68, 116, 310, 91, 21, 178, 21, 23, 33, 140, 149, 476, 34, 16, NA, 19, 37, 193, 20, 81, 15, 143, 11, 128, 48, 63, 43, 226, 49, 32, 17, 158, 51, 137, 88, 51, 156, 46, 21, 93, 1704, 39, 35, 14, 23
#> $ earn_mdn_hi_2yr               <dbl> 43798, 70176, NA, NA, 80004, 114892, 50856, NA, 66461, 52107, 58549, 58221, 81333, 98650, 92743, 65042, 54739, 106421, 57318, NA, 48432, 67101, 74105, 58402, 59425, 73075, NA, NA, 71015, 73949, 72214, 85357, 50856, 69338, 90049, 80779, 79838, 67660, 106421, 88907, 73739, 116258, 90983, 143744, 60320, 101406, 80459, 62012, NA, 63005, 88861, NA, NA, 69657, 47260, 67660, 65238, 78074, NA, 76460, 92733, 69338, 79037, 68499, 89672, 80124, 96866, 87973, 128588, 108331, 83768, 131090, 63997, 47260, 89184, 71015, 80503, 66541, 80301, 54661, 66897, 57318, 60161, 87604, 106249, NA, 90348, NA, 70044, 73949, 52941, 64706, NA, 86424, 54697, 99458, 41193, 114046, 61303, 51482, 46790, NA, 75047, 52107, 59688, 75787, 67685, 61020, 88546, NA, 39653, 83022, 65557, 58605, 60689, 62806, 56918, 66566, 53358, 62260, 45696, 59253, 49854, 38289, 60173, 53894, 51106, 134287, 127034, 52941, NA, 65486, 111283, 41342, 55964, 62343, 56415, 78719, 49683, 74786, 61516, 84653, 64493, 65238, 84653, 59576, 100096, 54386, 84653, 73635, 80189, 71661, 72884, NA, 60071, 87470, 59942, 63600, 62260, 58303, 91587, 189565, NA, 48432, 57770, 68778, 61350, 55840, 69338, 71957, 54809, 56931, 63166, 65238, 52107, NA, NA, 62260, 61020, 63005, NA, 66326, 64706, 63005, 57589, 70680, 96991, 68666, 78657, 63005, 67473, 67660, 55286, 57995, 73299, 57318, 56641, 61218, 48432, 69338, 60523, 71015, 57318, NA, NA, 49787, 48432, 61144, 36560, 84653, 61814, 63692, 56641, 67101, 51106, 49344, 46869, 87973, 58673, NA, 58673, 49883, 75204, NA, 78719, 74576, 106421, 92188, 72006, 106102, 51750, 68331, 53537, 52107, 52107, 64572, 63005, 89968, 115060, 106688, 72214, 61177, NA, 64328, 82882, 75518, 71854, 99741, 74200, 61516, 78971, 71778, 46478, 68666, 83388, 71015, 119061, 53775, 69338, 65180, 63318, 81111, 66077, 103746, 64493, 89968, 140166, 98481, 90856, 73635, 89412, 57318, 60771, NA, 90079, 73801, 72602, 80858, 75795, 65238, 65131, 112319, NA, 75204, 72469, 101300, 66915, 55964, NA, NA, 46673, 55964, 46087, NA, 33993, 59722, 88527, 53358, 50465, 59969, 55286, 56563, 47650, 54035, 52107, 53358, 51197, 52265, 70176, 88904, 70456, 58402, 112270, 64473, 50856, 58673, 71495, 73949, 87068, 91017, 55512, 50558, 90856, 82440, 64990, 66171, 69218, 60771, 59417, 55286, 79755, 74953, NA, 73446, 65486, 63749, 73635, 62211, 88971, 85918, 97604, 79473, 109327, NA, 125611, 57318, 71015, 65238, 62409, 54192, 59688, NA, NA, 49644, 70296, 33993, 65387, 71575, 54622, 170426, 145332, 101518, 52107, 56157, 47260, NA, 113850, 108092, 70456, 58673, 56776, 60623, 81498, 88506, 64196, 68499, 52941, NA, 59788, 145543, 96539, 61516, 90637, NA, 67101, 59124, 54401, 58673, 81997, 54686, 63430, 74576, 68443, 68499, 50563, 46478, 51607, 56716, 69897, 76460, 77966, NA, NA, 58557, 49084, 54810, 64493, 71854, 67660, 54748, 48849, 49214, 55964, 127836, 84653, 64121, 44384, 74200, 65486, 49683, 57318, 86867, 76836, 84653, 55286, 60230, 57318, 76460, 58673, 81111, 73035, 86129, 79688, 83177, 85860, 79284, 65610, 63005, 61814, 58402, 73635, 52733, 55964, 61814, 98403, 61516, NA, 62260, 108577, 90283, NA, 71575, 72899, 60161, 65089, 69338, 84284, 64706, 66077, 58092, 67324, 67660, 69338, 76083, 95473, 46087, 63328, 69338, NA, 75518, NA, 63997, 86621, NA, 86867, 72510, 44971, 79284, 60878, NA, NA, 48139, 60623, 58221, 72796, 66104, 82440, 65486, 58402, 54154, 45383, 58402, 86867, 59726, 84100, 73425, 96183, NA, 67164, 61516, 94864, 175674, 57735, 58221, NA, 82440, 51169, 65066, 59124, 102409, 109095, 67660, 91211, 59169, 52733, 64990, 57318, 50677, 65198, NA, 61888, 61020, 59425, 42682, 48432, 74262, NA, 95102, 48198, 54724, 60771, 68778, 46087, 116083, 50465, 76460, 69338, 63005, 43798, 53810, 39369, 33987, 73446, 67101, 76041, 99251, 43240, 54463, 62579, 68219, 70456, NA, NA, 96457, 65131, 57318, 67324, 77966, 62012, 68688, 80022, 78343, 64990, 67324, 92563, 59253, 60771, 45696, 67660, 64990, 59124, 77401, 55625, 54109, 127993, 65486, 63005, 68858, NA, 120363, NA, 52941, 68965, 60013, 57526, 115761, 76460, 131707, 94674, 52420, 68858, 97663, 74786, 52941, 75706, 65131, 53984, NA, 119642, 52107, 71015, NA, 98213, 76878, 80521, 73635, 79912, NA, 68499, 45500, NA, 105585, 63749, 91744, 57714, NA, 78896, 74157, 58673, 76460, 113246, 93467, 155263, 74200, 53358, 82685, 77715, 61064, 58221, 86424, 100915, 127652, 63005, 57995, NA, 63005, 63005, 66461, 65797, 72462, 94408, 60689, 88198, 98506, 61218, 85206, 80292, 65267, 77087, 73949, 63997, 32678, 33993, 37208, 88342, 43519, 78029, 74576, 56415, 79389, 70169, 66821, 64990, 53358, 66821
#> $ tuit_grad_res                 <dbl> 8130, 7588, 11700, 9834, 10470, 9072, 9540, 9936, 5598, 18530, 7146, 8436, 11700, 10810, 11372, 8956, 7680, 7379, 4626, 4932, 4594, 15678, 13152, 5022, 16224, 11430, 17500, 6738, 6738, 6738, 6738, 6738, 6738, 6738, 6738, 6738, 6738, 6738, 6738, 6738, 6738, 11220, 11220, 11220, 11220, 11220, 26896, 8150, 16722, 14940, 17550, 17532, 6738, 13320, 12888, 10452, 11232, 15696, 16713, 44068, 31300, 10980, 20100, 6738, 25470, 6738, 23310, 6738, 27594, 36657, 6738, 41592, 34680, 4410, 6714, 9983, 10836, 12567, 9628, 45288, 11250, 20720, 14940, 6496, 13726, 16632, 12060, 15660, 17730, 20745, 12822, 6497, 6497, 30960, 8190, 28422, 17100, 28800, 13410, 17820, 13050, 6916, 16296, 8019, 5467, 22338, 8912, 16725, 10770, 13320, 21964, 34200, 8570, 18373, 10755, 18996, 9630, 8350, 14076, 16768, 12269, 10584, 7088, 3402, 11736, 5512, 5706, 39800, 13452, 3330, 5187, 6636, 8492, 8910, 4374, 3996, 18600, 15288, 17190, 6232, 6789, 6460, 8851, 10800, 15300, 14328, 18960, 6936, 29730, 7368, 13263, 17168, 7466, 29784, 14310, 18594, 9662, 10962, 15372, 12906, 11858, 50424, 6408, 14845, 24750, 12780, 18996, 17993, 13302, 15100, 10524, 6312, 7767, 11663, 6750, 11460, 7872, 35492, 8497, 7128, 6648, 13000, 16403, 11070, 11700, 8474, 8856, 6996, 16020, 17964, 9990, 5922, 3398, 10068, 9480, 9306, 9670, 12000, 6218, 10764, 10085, 8250, 5173, 10950, 11904, 5670, 6552, 11400, 9132, 6593, 5703, 7234, 5686, 6490, 6540, 5336, 5511, 49030, 7524, 8460, 6840, 24468, 13140, 7182, 7092, 8100, 50410, 15840, 8244, 11718, 7074, 12167, 6858, 14106, 10530, 11610, 22420, 33800, 27216, 49176, 48507, 1675, 13736, 42800, 14793, 3186, 14304, 13524, 16863, 22633, 2520, 20556, 29640, 14994, 32333, 24120, 25344, 2700, 25128, 12232, 12942, 27666, 15120, 13712, 12720, 19116, 21466, 16764, 11300, 9959, 16338, 12869, 10710, 6927, 14746, 13312, 12778, 9630, 8550, 8532, 7185, 16240, 8820, 7373, 8100, 24386, 14076, 6885, 6720, 5269, 10080, 6298, 7141, 7644, 6858, 10206, 7780, 7549, 8400, 7575, 6683, 8496, 7200, 12654, 15672, 9405, 4551, 8025, 15030, 19350, 6307, 4644, 48950, 12690, 8400, 4135, 9810, 3600, 4649, 7134, 14038, 3600, 4968, 4752, 16000, 13560, 18810, 9108, 9810, 16720, 15660, 21564, 18000, 15102, 12960, 10196, 13156, 24156, 10464, 19008, 14545, 22239, 16536, 19476, 33328, 10686, 12024, 10998, 3934, 4418, 7780, 4088, 14376, 3026, 37623, 32517, 14310, 29286, 26460, 43552, 29500, 10130, 10130, 10130, 16380, 15624, 32160, 22320, 19116, 27087, 13536, 28272, 17505, 14040, 15156, 19170, 13500, 13230, 42610, 39936, 21870, 10350, 28680, 13482, 41804, 12240, 13194, 14382, 16182, 15930, 15888, 10870, 10870, 10870, 10870, 10870, 10870, 10870, 10870, 10870, 34632, 16200, 17483, 19800, 4744, 11326, 4656, 12654, 3371, 7722, 9900, 13770, 4545, 9643, 4252, 5117, 4647, 8088, 4448, 3639, 11520, 11194, 37520, 9450, 4348, 12100, 6865, 7185, 5570, 7731, 5713, 12697, 7632, 11250, 42576, 12790, 9565, 16020, 14400, 16008, 11090, 11349, 10200, 10260, 12890, 8964, 10825, 10620, 11560, 9510, 12600, 13166, 18636, 18936, 11970, 13474, 10908, 8492, 9270, 20772, 6043, 3899, 5033, 13734, 4886, 4464, 5316, 22230, 10762, 15504, 15000, 12150, 14391, 30421, 13248, 17496, 14292, 19560, 13140, 11592, 11520, 11592, 16261, 16254, 11592, 7824, 32184, 22212, 16200, 17370, 11934, 11772, 13248, 11592, 23020, 43320, 25560, 10106, 9300, 12060, 19964, 32286, 15858, 12240, 25000, 11352, 12672, 11592, 11592, 15786, 17917, 15840, 11592, 24800, 22368, 13260, 26832, 11826, 8880, 11796, 9180, 7542, 3750, 15075, 70, 8826, 7650, 12398, 13320, 14312, 6840, 7516, 8300, 20160, 8580, 22600, 5700, 18576, 7992, 9024, 11376, 18956, 8820, 7974, 8100, 11044, 8502, 8380, 9200, 6426, 6870, 19890, 3783, 28494, 12240, 3568, 15408, 30200, 3619, 3630, 16481, 7074, 6602, 5798, 7956, 15930, 6048, 3350, 20115, 14940, 3849, 5450, 15390, 4362, 35712, 25092, 20934, 5139, 15570, 40896, 10350, 4896, 6167, 3672, 3228, 5784, 7141, 11300, 12418, 4497, 4896, 26640, 5186, 1600, 5400, 4522, 10620, 4402, 6680, 7280, 5323, 7192, 6473, 7677, 13412, 14436, 17073, 15096, 9000, 12726, 13715, 10628, 10776, 9648, 8051, 8820, 6588, 16920, 8736, 20304, 12467, 10976, 15026, 13914, 10953, 16457, 18202, 25381, 13800, 19353, 11224, 15207, 9582, 11952, 5770, 9000, 10176, 12015, 10539, 10170, 16164, 10305, 4860, 19350, 7936, 7640, 7640, 10387, 7640, 7640, 4338, 2652, 2652, 2652, 9208, 10692, 11160, 6738, 11880, 6738, 6500, 6974, 6738, 9000, 5144
#> $ fee_grad_res                  <dbl> 1236, 0, 1390, 508, 0, 1624, 840, 640, 1226, 610, 802, 1385, 410, 696, 1011, 451, 1604, 971, 1292, 1026, 1287, 500, 0, 918, 220, 710, 150, 3603, 1385, 1256, 1138, 1595, 1568, 951, 841, 1088, 1092, 988, 911, 1115, 1428, 2017, 1844, 1463, 2118, 1865, 370, 0, 300, 40, 85, 500, 1737, 180, 930, 135, 0, 80, 619, 380, 120, 0, 172, 1612, 354, 1012, 50, 1946, 0, 0, 1916, 713, 400, 2488, 1738, 0, 1774, 840, 2088, 303, 0, 184, 2510, 4460, 2270, 80, 510, 200, 720, 0, 828, 4722, 4801, 792, 50, 690, 526, 45, 0, 0, 100, 1956, 1294, 1857, 1190, 250, 2185, 200, 1967, 0, 1200, 1016, 1797, 802, 400, 0, 0, 2078, 0, 0, 450, 80, 1974, 1602, 400, 1454, 1850, 3180, 2200, 1376, 2022, 2092, 2270, 0, 2116, 1962, 0, 880, 130, 2208, 1713, 2070, 120, 0, 260, 360, 330, 2769, 250, 1900, 3080, 720, 1504, 500, 100, 848, 0, 390, 0, 0, 1981, 440, 1389, 100, 0, 100, 313, 327, 375, 450, 4059, 1642, 3558, 0, 200, 960, 0, 588, 500, 200, 595, 0, 930, 428, 0, 1075, 1501, 0, 280, 0, 240, 1884, 657, 0, 958, 406, 862, 0, 1514, 0, 0, 110, 905, 0, 300, 300, 150, 0, 2755, 2483, 1872, 1064, 2166, 2172, 1829, 3996, 3939, 1980, 1142, 0, 830, 682, 1508, 1924, 2448, 210, 1800, 60, 270, 1538, 1404, 0, 1512, 60, 0, 40, 0, 580, 90, 710, 88, 8563, 0, 30, 0, 2556, 375, 2089, 355, 280, 4671, 162, 195, 405, 52, 0, 60, 2664, 690, 0, 790, 0, 1235, 0, 766, 150, 328, 0, 722, 432, 0, 350, 310, 290, 1757, 923, 0, 0, 0, 0, 669, 1495, 0, 883, 0, 214, 360, 777, 684, 1277, 0, 120, 120, 100, 20, 600, 0, 110, 300, 1095, 701, 126, 396, 324, 660, 0, 2342, 0, 490, 546, 1101, 910, 330, 0, 100, 1758, 525, 1203, 1441, 1676, 0, 1131, 532, 535, 1175, 175, 0, 630, 50, 400, 198, 870, 910, 968, 2718, 1944, 3316, 700, 1676, 2806, 3131, 450, 2097, 60, 1186, 3214, 0, 1386, 2083, 1598, 1526, 853, 0, 1624, 1335, 970, 724, 650, 790, 2002, 85, 308, 432, 430, 470, 860, 491, 970, 490, 111, 290, 1904, 540, 0, 620, 950, 160, 0, 276, 2432, 100, 350, 1000, 300, 274, 50, 0, 814, 351, 180, 340, 1824, 2051, 2477, 1696, 711, 1284, 1063, 515, 480, 1242, 1000, 550, 200, 2977, 549, 2632, 0, 2162, 50, 0, 105, 2902, 1963, 3026, 2636, 2477, 2484, 2595, 2285, 0, 536, 490, 0, 2844, 720, 1375, 1458, 962, 1405, 0, 0, 1765, 0, 34, 1678, 114, 50, 685, 0, 0, 918, 420, 0, 638, 0, 500, 450, 865, 0, 0, 1555, 176, 300, 100, 0, 12, 410, 1905, 2668, 751, 673, 2702, 2070, 3283, 306, 1110, 490, 1434, 0, 180, 1651, 1852, 213, 1317, 0, 1710, 0, 263, 2573, 90, 3916, 130, 468, 5096, 138, 840, 0, 230, 550, 0, 450, 274, 2923, 570, 1030, 0, 1314, 1415, 0, 948, 3318, 990, 0, 550, 50, 600, 3384, 3771, 890, 100, 0, 2399, 300, 1728, 0, 0, 0, 0, 1566, 100, 700, 40, 0, 12914, 856, 0, 400, 120, 300, 0, 1042, 1473, 730, 200, 260, 0, 0, 1379, 0, 70, 30, 1643, 1260, 1776, 1790, 1394, 1040, 1171, 0, 20, 0, 2612, 3006, 350, 2732, 800, 0, 1440, 2146, 2485, 1360, 1166, 1192, 982, 1575, 1958, 2367, 0, 1450, 2029, 1733, 816, 2782, 540, 150, 324, 2184, 680, 5664, 960, 1531, 1801, 2437, 2141, 3120, 1678, 0, 0, 1126, 1480, 48, 1915, 5118, 2125, 2364, 1180, 1947, 0, 756, 954, 630, 1054, 912, 182, 0, 2176, 1916, 5258, 500, 60, 3096, 35, 1104, 379, 92, 3030, 180, 2744, 1190, 2065, 2167, 2654, 0, 841, 424, 200, 100, 0, 765, 1529, 1059, 921, 0, 1734, 0, 700, 0, 0, 120, 0, 0, 0, 0, 0, 1271, 1122, 1402, 1066, 1396, 1335, 900, 900, 900, 794, 300, 300, 1911, 500, 907, 290, 1987, 1075, 0, 1690
#> $ tuit_grad_nres                <dbl> 16260, 17294, 11700, 21830, 26950, 27216, 9540, 20592, 11196, 18530, 14292, 17233, 11700, 23480, 31124, 17781, 17400, 18842, 9252, 9864, 9188, 15678, 13152, 7452, 16224, 11430, 17500, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 15666, 26322, 26322, 26322, 26322, 26322, 26896, 8150, 16722, 14940, 17550, 17532, 15666, 13320, 12888, 10452, 11232, 15696, 16713, 44068, 31300, 10980, 20100, 15666, 25470, 15666, 23310, 15666, 27594, 36657, 15666, 41592, 34680, 10332, 22374, 20153, 28656, 12567, 23604, 45288, 11250, 20720, 14940, 18102, 34762, 16632, 12060, 15660, 17730, 20745, 12822, 18102, 18102, 30960, 8190, 28422, 17100, 28800, 13410, 17820, 13050, 25759, 16296, 22108, 16695, 22338, 21393, 16725, 27335, 13320, 21964, 34200, 19585, 18373, 10755, 18996, 9630, 19048, 14076, 16768, 12269, 10584, 22166, 13590, 11736, 13507, 11952, 39800, 27872, 13248, 18486, 26518, 24090, 8910, 15750, 15498, 18600, 36768, 17190, 20682, 20870, 21268, 8851, 10800, 15300, 14328, 18960, 16656, 29730, 14736, 22217, 17168, 15038, 29784, 14310, 18594, 9662, 10962, 15372, 12906, 20426, 50424, 12816, 14845, 24750, 12780, 18996, 17993, 13302, 15100, 26310, 11156, 11651, 11663, 6750, 11460, 7872, 35492, 16691, 13986, 15661, 13000, 16403, 11070, 11700, 21786, 26460, 6996, 16020, 17964, 9990, 18414, 9676, 10068, 22176, 9306, 21828, 12000, 16302, 10764, 10085, 16786, 12704, 10950, 11904, 5670, 6552, 16320, 9132, 19478, 16778, 20673, 16617, 18590, 19017, 5336, 19239, 49030, 24498, 8460, 18468, 24468, 19062, 12384, 9108, 8100, 50410, 15840, 11862, 25272, 13860, 12167, 12060, 14106, 10530, 11610, 22420, 33800, 27216, 49176, 48507, 1675, 13736, 42800, 14793, 3186, 25853, 29644, 32913, 22633, 4140, 20556, 29640, 27068, 32333, 24120, 25344, 2700, 25128, 18216, 12942, 27666, 27840, 13712, 12720, 19116, 43346, 32940, 19998, 14922, 24648, 24517, 10710, 6927, 31939, 28195, 12778, 9630, 8550, 8532, 14370, 25120, 8820, 11201, 8100, 24386, 14076, 6885, 10120, 5269, 10080, 6298, 7141, 21912, 6858, 10206, 20900, 16419, 8400, 7575, 13366, 8496, 7200, 12654, 15672, 9405, 9103, 8025, 15030, 19350, 11767, 9324, 48950, 12690, 8400, 18742, 9810, 7200, 12987, 20412, 14038, 7200, 18878, 18662, 16000, 13560, 18810, 10494, 9810, 16720, 15660, 21564, 18000, 15102, 12960, 17966, 17831, 24156, 15837, 28092, 14545, 22239, 28128, 19476, 33328, 16449, 12024, 17856, 9880, 7552, 22643, 14254, 14376, 8730, 37623, 32517, 14310, 29286, 26460, 43552, 29500, 18720, 18720, 18720, 16380, 15624, 32160, 22320, 19116, 27087, 13536, 28272, 17505, 14040, 15156, 19170, 13500, 13230, 42610, 39936, 21870, 10350, 28680, 13482, 41804, 12240, 13194, 14382, 16182, 15930, 15888, 22210, 22210, 22210, 22210, 22210, 22210, 22210, 22210, 22210, 34632, 16200, 17483, 19800, 17913, 11326, 17547, 12654, 14219, 7722, 9900, 13770, 16950, 26854, 17423, 18566, 17347, 22610, 16667, 13896, 11520, 11194, 37520, 9450, 14755, 12100, 6865, 19184, 14873, 13237, 5713, 12697, 13284, 11250, 42576, 24532, 16297, 16020, 14400, 16008, 19362, 11349, 10200, 10260, 29604, 8964, 10825, 10620, 32008, 17502, 12600, 23502, 18636, 18936, 11970, 22890, 10908, 12992, 9270, 20772, 15010, 8813, 19801, 13734, 18989, 10674, 11652, 22230, 13354, 15504, 15000, 21799, 24759, 30421, 20736, 17496, 17892, 19560, 13140, 17400, 11520, 17400, 16261, 16254, 17400, 7824, 32184, 22212, 16200, 17370, 11934, 11772, 13248, 17400, 23020, 43320, 25560, 17636, 9300, 12060, 34266, 32286, 15858, 12240, 25000, 11352, 12672, 17400, 17400, 21636, 17917, 15840, 17400, 24800, 22368, 13260, 26832, 11826, 8880, 24206, 9180, 7542, 3750, 15075, 70, 18424, 7650, 27008, 24144, 27570, 6840, 14449, 22280, 20160, 8580, 22600, 5700, 18576, 22248, 9024, 11376, 18956, 17604, 22086, 24218, 29232, 14262, 20020, 23720, 6426, 6870, 19890, 11128, 28494, 12240, 10912, 15408, 30200, 11564, 10974, 16481, 15696, 13046, 13142, 17100, 15930, 13392, 10694, 20115, 14940, 5019, 12794, 15390, 12390, 35712, 25092, 20934, 12483, 15570, 40896, 10350, 12240, 14327, 11015, 10572, 15953, 15638, 21518, 24150, 12326, 12294, 26640, 20785, 8244, 12744, 11867, 10620, 5081, 6680, 22861, 18632, 17718, 22848, 16161, 13412, 14436, 17073, 38160, 24686, 12726, 13715, 29306, 10776, 26688, 8051, 8820, 15462, 16920, 25548, 20304, 25095, 22479, 25168, 13914, 25438, 16457, 18202, 25381, 13800, 19353, 24656, 27255, 19866, 11952, 14114, 23238, 10176, 12015, 10539, 10170, 16164, 10305, 4860, 19350, 7936, 16771, 16771, 23424, 16771, 16771, 12978, 2652, 2652, 2652, 28010, 10692, 11160, 15666, 11880, 15666, 6500, 28170, 15666, 9000, 17544
#> $ fee_grad_nres                 <dbl> 1236, 0, 1390, 508, 0, 1624, 840, 640, 1226, 610, 802, 1727, 410, 696, 1011, 513, 1604, 971, 1292, 1026, 1287, 500, 0, 918, 220, 710, 150, 3603, 1385, 1256, 1138, 1595, 1568, 951, 841, 1088, 1092, 988, 911, 1115, 1428, 2017, 1844, 1463, 2118, 1865, 370, 0, 300, 40, 85, 500, 1737, 180, 930, 135, 0, 80, 619, 380, 120, 0, 172, 1612, 354, 1012, 50, 1946, 0, 0, 1916, 713, 400, 2488, 1738, 0, 1774, 840, 2088, 303, 0, 184, 2510, 5654, 2270, 80, 510, 200, 720, 0, 828, 5917, 5996, 792, 50, 690, 526, 45, 0, 0, 100, 2898, 1294, 2561, 1751, 250, 2809, 200, 2795, 0, 1200, 1016, 2348, 802, 400, 0, 0, 2078, 0, 0, 450, 80, 2728, 1602, 400, 1454, 1850, 3180, 2200, 1376, 2022, 2092, 2270, 0, 2116, 1962, 0, 880, 130, 2208, 1713, 2070, 120, 0, 260, 360, 330, 2769, 250, 1900, 3080, 720, 1504, 500, 100, 848, 0, 390, 0, 0, 1981, 440, 1389, 100, 0, 100, 313, 327, 375, 450, 4059, 1782, 3558, 0, 200, 960, 0, 588, 500, 200, 595, 0, 930, 428, 0, 1075, 1501, 0, 280, 0, 240, 1884, 657, 0, 958, 406, 862, 0, 1514, 0, 0, 110, 905, 0, 300, 300, 150, 0, 19690, 2483, 1872, 1064, 2166, 2172, 1829, 13996, 3939, 1980, 1142, 0, 830, 682, 1508, 1924, 2448, 210, 1800, 60, 270, 1538, 1404, 0, 1512, 60, 0, 40, 0, 580, 90, 710, 88, 8563, 0, 30, 0, 2556, 375, 2089, 355, 280, 4671, 162, 195, 405, 52, 0, 60, 2664, 690, 0, 790, 0, 1235, 0, 766, 150, 328, 0, 722, 432, 0, 350, 310, 290, 1757, 923, 0, 0, 0, 0, 669, 1495, 0, 883, 0, 214, 360, 777, 684, 1277, 0, 120, 10473, 100, 20, 600, 0, 110, 300, 1095, 701, 126, 396, 324, 660, 0, 2342, 0, 490, 546, 1101, 910, 330, 0, 100, 1812, 525, 1203, 1441, 1676, 0, 1131, 532, 535, 1175, 175, 0, 630, 50, 400, 198, 870, 910, 968, 2718, 1944, 3316, 700, 1676, 2806, 3131, 450, 2097, 60, 1186, 3214, 0, 1386, 2083, 1598, 1526, 853, 0, 1624, 1335, 970, 724, 650, 790, 2002, 85, 308, 432, 430, 470, 860, 491, 970, 490, 111, 290, 1904, 540, 0, 620, 950, 160, 0, 276, 2432, 100, 350, 1000, 300, 274, 50, 0, 814, 351, 180, 340, 1824, 2051, 2477, 1696, 711, 1284, 1063, 515, 480, 1242, 1000, 550, 200, 2977, 549, 2632, 0, 2162, 50, 0, 105, 2902, 1963, 3026, 2636, 2477, 2484, 2595, 2285, 0, 536, 490, 0, 2844, 720, 1375, 1458, 962, 1405, 0, 0, 1765, 0, 34, 1678, 114, 50, 685, 0, 0, 918, 420, 0, 638, 0, 500, 450, 865, 0, 0, 1555, 176, 300, 100, 0, 12, 410, 1905, 2668, 751, 673, 2702, 2070, 3283, 306, 1110, 490, 1434, 0, 180, 1651, 1852, 213, 1317, 0, 1710, 0, 263, 2861, 90, 5119, 130, 468, 6875, 138, 840, 0, 230, 550, 0, 450, 274, 3825, 570, 1030, 0, 1452, 1415, 0, 948, 3318, 990, 0, 550, 50, 600, 3672, 4930, 890, 100, 0, 2615, 300, 1728, 0, 0, 0, 0, 1566, 100, 700, 40, 0, 32888, 856, 0, 400, 120, 300, 0, 1042, 1473, 730, 200, 260, 0, 0, 1379, 0, 70, 30, 1643, 1260, 1776, 2020, 1394, 1040, 1171, 0, 20, 0, 2612, 3006, 350, 3161, 800, 0, 1440, 2146, 2485, 1360, 1166, 1192, 982, 1575, 1958, 2796, 0, 1450, 2029, 1733, 816, 2782, 540, 150, 324, 2184, 680, 5664, 960, 1531, 1801, 2437, 2141, 3120, 1678, 0, 0, 1126, 1480, 48, 1915, 5666, 2125, 2364, 1180, 1947, 0, 756, 954, 630, 1054, 912, 182, 0, 2176, 1916, 5814, 500, 60, 3096, 35, 1608, 379, 92, 3030, 180, 3312, 1190, 2669, 2792, 3336, 0, 841, 424, 200, 100, 0, 765, 1529, 1059, 921, 0, 1946, 0, 700, 0, 0, 120, 0, 0, 0, 0, 0, 1271, 1122, 1402, 1066, 1396, 1335, 900, 900, 900, 794, 300, 300, 1911, 500, 907, 290, 3046, 1075, 0, 1690
#> $ books_supplies                <dbl> 1600, 1200, 1500, 1688, 1200, 1200, 1800, 1020, 1500, 1000, 1129, 1400, 1220, 1103, 800, 1000, 1715, 1046, 1137, 1410, 1200, 1200, 800, 1600, 1792, 1790, 1791, 1848, 1898, 1500, 1791, 1650, 1792, 1764, 1792, 1898, 1500, 1898, 1898, 1600, 1792, 1601, 1766, 1636, 1716, 1541, 1500, 1700, 1790, 1854, 1920, 1792, 1660, 1791, 1791, 1900, 1592, 1844, 1791, 1791, 1500, 1790, 1775, 1818, 1800, 1900, 1600, 1899, 1791, 1107, 1790, 1200, 1800, 1800, 1800, 1800, 1800, 1000, 1200, 1200, 1800, 1000, 1500, 1300, 850, 1150, 972, 1000, 800, 1200, 1000, 1400, 1300, 800, 1800, 800, 1600, 1275, 1040, 1500, 800, 1152, 1400, 1138, 1320, 1200, 1590, 1244, 1210, 1320, 2000, 930, 1200, 1500, 1030, 1250, 1720, 1200, 850, 1200, 1600, 1500, 1200, 1298, 1300, 1222, 1270, 1224, 800, 1400, 1500, 1200, 1006, 1400, 1200, 1500, 1600, 952, 1200, 1200, 1000, 1214, 1200, 1000, 1200, 1200, 1104, 150, 1000, 900, 1400, 1510, 942, 1500, 1500, 1200, 1000, 1350, 1200, 1000, 1400, 1620, 2400, 1000, 1500, 1200, 1200, 1200, 800, 1200, 1100, 840, 900, 1200, 1200, 1000, 1000, 1250, 1140, 1170, 1204, 1380, 1200, 1200, 950, 995, 950, 1280, 1200, 1560, 1200, 1000, 1080, 1500, 1080, 986, 856, 1490, 1000, 2547, 1000, 1000, 1000, 792, 1100, 1200, 1200, 1000, 1160, 1500, 1220, 1220, 1220, 1220, 1220, 1240, 1220, 1200, 1000, 1200, 1200, 800, 1600, 2200, 1400, 1200, 1220, 1250, 0, 1200, 2500, 1300, 1300, 1200, 1000, 1000, 1100, 1260, 1250, 1000, 1000, 800, 1500, 800, 1150, 1000, 1200, 1000, 800, 1000, 1200, 1280, 1000, 1200, 1200, 1240, 1000, 1368, 1100, 1000, 904, 880, 1000, 1200, 1000, 1453, 1048, 1076, 1300, 1000, 764, 1350, 1000, 800, 1196, 948, 1200, 1186, 2000, 480, 1500, 1000, 600, 1200, 1300, 1000, 1000, 1200, 1200, 1556, 1200, 1000, 2300, 1200, 1400, 1100, 1200, 1200, 3300, 1040, 1000, 1200, 1000, 1000, 1200, 1200, 400, 1800, 1485, 1200, 502, 1100, 980, 1000, 1200, 1400, 1350, 1600, 1080, 1012, 1040, 1120, 1298, 1300, 1200, 1000, 1200, 1337, 1400, 2100, 1200, 1230, 1300, 1350, 1600, 1200, 1384, 1234, 1300, 2600, 1569, 1500, 1350, 1000, 1200, 1597, 1698, 1600, 950, 1100, 1080, 1298, 1200, 1466, 1020, 1300, 1000, 1416, 1000, 1400, 910, 1364, 1364, 1364, 1200, 1500, 1012, 1000, 1500, 1300, 1300, 2000, 1200, 1000, 1524, 1470, 1200, 1185, 1589, 1070, 1104, 1000, 800, 1100, 1050, 1200, 800, 1200, 1000, 1100, 615, 1200, 1000, 1196, 900, 1037, 1600, 800, 1528, 1500, 1440, 778, 1400, 822, 700, 1600, 1280, 900, 400, 1300, 1160, 1200, 1400, 1442, 1200, 956, 1500, 1082, 1104, 1505, 1500, 1200, 1400, 1400, 2151, 1222, 1100, 1000, 800, 1000, 912, 1582, 1010, 1550, 1200, 1500, 800, 1000, 1240, 1000, 1200, 1100, 1320, 1200, 1216, 1400, 1200, 1100, 1234, 1030, 2000, 1150, 1216, 1200, 1104, 1248, 1000, 1100, 900, 1200, 1600, 1260, 1260, 1500, 714, 1000, 1218, 1200, 1425, 950, 900, 1551, 1122, 1050, 2090, 864, 999, 1144, 1500, 1200, 1200, 1000, 1020, 1000, 1000, 1000, 1700, 1400, 1200, 1066, 900, 1200, 1080, 1100, 1000, 1100, 1000, 1597, 1000, 1488, 1840, 1280, 1200, 1500, 2000, 1300, 1200, 1200, 1550, 1000, 1100, 1500, 1200, 1300, 1500, 1200, 1300, 1500, 940, 1200, 1400, 2000, 1400, 1060, 1159, 1308, 2200, 1023, 1160, 1000, 950, 1200, 1550, 1400, 1600, 1000, 1400, 1500, 1090, 1420, 1200, 1400, 1415, 1540, 1400, 1598, 1400, 2300, 2300, 1471, 1250, 1250, 1200, 1444, 1274, 868, 1260, 1200, 1400, 1400, 1000, 1064, 1210, 1200, 1300, 1200, 1000, 1456, 1550, 1300, 1350, 1000, 1200, 1300, 800, 1050, 1094, 1000, 1300, 800, 1298, 1192, 820, 1200, 1344, 1054, 1206, 662, 1200, 1216, 1292, 1050, 1000, 1524, 1200, 1050, 1650, 1000, 812, 1600, 810, 976, 1232, 1200, 1000, 1000, 1500, 1200, 1350, 1000, 1000, 1200, 1100, 990, 1771, 1000, 1200, 1000, 1000, 1500, 1210, 2804, 1294, 1000, 900, 1092, 1000, 825, 1000, 1500, 960, 825, 906, 840, 1000, 900, 625, 700, 1078, 1600, 800, 950, 800, 1008, 1000, 400, 1000, 800, 500, 370, 1200, 1700, 1700, 1700, 1220, 1400, 1800, 1764, 1600, 1339, 200, 1200, 1898, 1046, 2000
#> $ roomboard_off                 <dbl> 8830, 11682, 9600, 9603, 13050, 12898, 8000, 8980, 7284, 9850, 5815, 12080, 15060, 9216, 11300, 9262, 9406, 10332, 8910, 12634, 7054, 6756, 2500, 6915, 12494, 12370, 12492, 12507, 13780, 10900, 13770, 12588, 11360, 12888, 12492, 13882, 13884, 12910, 13882, 11358, 12492, 8606, 9814, 10667, 9008, 10131, 12268, 12400, 4968, 13293, 13200, 13500, 12638, 12492, 12492, 12298, 11104, 12916, 12492, 12492, 14330, 12492, 12492, 12050, 12492, 13882, 13990, 13882, 12492, 12240, 13882, 14348, 12492, 9693, 11205, 10400, 11788, 8910, 9693, 12021, 9694, 12265, 8520, 10503, 12436, 13860, 11986, 11468, 13850, 10462, 10750, 9698, 11884, 12068, 6000, 15698, 13040, 12500, 11440, 11400, 11608, 9764, 10826, 9636, 11364, 13610, 11837, 10680, 9910, 16740, 8544, 16490, 9934, 19125, 8776, 11530, 11680, 9700, 13997, 12326, 3500, 6500, 9354, 10622, 9684, 11750, 9030, 13486, 13640, 7672, 13150, 9800, 8032, 8540, 9258, 6849, 12478, 13030, 17362, 8974, 8280, 8354, 8350, 3858, 10010, 5850, 13387, 9546, 5500, 10868, 10882, 10260, 8082, 8000, 7000, 11500, 7500, 15300, 8565, 8980, 10776, 15489, 6588, 12660, 6111, 7750, 8600, 16699, 7200, 7206, 10186, 9211, 9580, 6000, 4000, 12947, 8000, 6812, 9920, 9696, 7170, 7010, 7400, 8900, 9060, 8356, 8588, 5440, 9470, 8120, 7970, 8392, 7710, 7590, 9610, 11169, 7662, 10881, 7025, 5955, 6296, 10252, 10575, 11820, 3600, 6750, 8400, 7713, 15772, 6516, 9074, 9073, 9074, 9073, 9072, 9714, 9073, 13844, 10164, 7200, 9980, 6500, 14200, 13114, 6000, 11240, 10255, 7870, 15430, 13966, 11876, 7500, 11352, 4630, 6012, 11660, 3500, 15130, 10200, 14870, 11330, 12200, 8000, 8450, 8881, 6380, 5150, 11897, 9200, 15050, 10310, 14500, 11890, 10000, 14882, 9730, 13410, 5400, 10464, 7346, 6324, 9514, 7400, 7780, 8810, 10107, 10872, 9784, 8064, 8706, 6252, 9185, 10040, 9270, 9134, 9561, 17358, 6600, 8500, 9894, 9610, 9377, 4120, 8230, 7700, 8700, 9010, 7686, 8460, 9356, 9000, 7374, 6100, 10002, 7394, 9812, 9418, 10000, 5900, 9488, 8350, 6290, 5104, 7998, 9000, 6521, 8558, 6400, 10125, 10640, 8508, 8288, 15596, 9516, 2050, 8826, 10350, 7164, 8648, 9774, 8354, 7110, 9190, 10558, 12200, 11700, 9514, 9708, 9990, 13500, 10894, 10575, 13000, 9882, 9475, 12446, 10973, 8967, 10964, 10300, 10849, 9600, 17934, 7500, 14350, 11942, 5670, 10800, 7496, 9108, 9472, 8944, 12800, 8224, 9720, 12196, 8000, 9892, 9600, 17010, 13900, 13713, 13713, 13713, 11570, 10000, 11924, 17315, 14400, 10230, 12970, 25000, 15010, 13250, 8096, 9436, 9900, 13380, 13000, 17578, 15558, 9300, 18312, 7222, 12500, 7000, 11463, 12356, 6500, 11740, 12450, 9750, 8090, 11241, 12900, 12982, 12000, 13390, 11600, 11948, 15217, 12865, 10036, 13260, 8380, 10760, 9241, 11495, 8070, 5400, 11600, 6244, 7153, 12218, 9823, 8744, 9636, 10635, 8624, 8208, 10700, 7300, 13404, 7000, 10100, 7292, 8264, 7856, 8136, 12342, 5500, 8882, 7446, 11000, 14298, 12102, 12000, 12680, 5795, 11250, 10720, 6176, 7760, 6300, 12454, 4150, 9000, 6360, 11706, 12268, 10200, 7514, 11508, 6450, 8538, 11376, 11730, 8990, 8136, 5400, 9772, 6378, 8840, 9814, 10280, 5544, 5112, 11338, 8930, 10528, 8650, 11874, 9807, 11822, 12200, 7556, 9699, 8998, 5100, 8912, 10000, 10524, 10784, 11042, 11146, 13328, 14367, 11760, 7200, 11990, 4000, 12000, 10062, 12044, 7500, 7100, 12690, 9268, 10000, 12858, 11230, 14536, 3150, 12880, 11000, 9400, 9212, 9504, 8080, 12336, 13093, 7090, 12860, 8190, 8618, 10460, 9000, 6700, 13650, 9586, 10450, 9990, 9050, 5905, 10897, 9144, 9892, 10540, 7928, 7464, 8630, 8008, 9711, 11330, 7508, 8700, 7690, 9980, 7952, 5090, 7880, 5000, 9153, 8246, 9100, 10238, 7996, 6610, 8750, 8500, 9400, 9310, 8216, 10576, 7204, 9114, 10692, 8500, 9532, 7780, 8973, 9704, 8720, 7996, 11067, 10794, 7550, 6910, 10332, 7590, 8012, 7960, 7872, 7355, 13750, 11112, 10090, 8720, 4000, 8700, 13694, 8868, 7260, 9710, 7466, 10368, 8410, 10070, 10190, 9496, 9970, 12000, 9558, 12974, 9081, 6885, 11000, 8582, 7448, 7500, 7880, 5960, 9936, 8000, 7904, 10576, 12920, 10000, 11382, 7965, 8000, 12186, 11700, 9334, 8046, 10120, 11118, 13430, 10864, 9990, 8720, 11280, 10726, 9648, 10941, 11158, 7800, 10330, 9100, 11499, 11356, 14625, 10524, 9585, 8426, 8340, 7850, 6517, 6718, 10280, 8370, 5664, 3750, 12160, 8510, 7538, 7600, 10030, 7350, 7600, 10320, 8000, 8000, 8000, 9460, 8936, 11104, 12826, 11448, 15450, 6000, 9672, 13882, 17654, 13128
#> $ oth_expense_off               <dbl> 3090, 4886, 1600, 3578, 4116, 5664, 4700, 3180, 2800, 5498, 5227, 4250, 4160, 4708, 5200, 5070, 5213, 4104, 5202, 4766, 5471, 2414, 2850, 6939, 4158, 4158, 4258, 2646, 2924, 2516, 2658, 2716, 2478, 2870, 2658, 2924, 2706, 2934, 2924, 2182, 2658, 5665, 5383, 5140, 5317, 5621, 4100, 4340, 4286, 4239, 4610, 4292, 2444, 4258, 4536, 5382, 3696, 4914, 4245, 4158, 2500, 4158, 4156, 3296, 4158, 2966, 3800, 2925, 4158, 3170, 2924, 1880, 4158, 2763, 5193, 4600, 2294, 1600, 1360, 2634, 3272, 6776, 10208, 3671, 2650, 1730, 2806, 2760, 2500, 3150, 2644, 3972, 2920, 1500, 1800, 921, 5500, 1900, 2660, 7700, 5783, 4970, 4458, 6313, 5718, 3000, 5354, 1626, 3750, 3524, 7272, 3062, 3834, 8010, 5678, 6170, 2552, 4100, 8448, 3000, 2400, 3630, 2100, 3860, 4500, 2500, 4460, 2416, 3260, 6044, 5303, 5654, 3952, 2890, 4994, 6195, 2245, 2899, 2220, 4030, 5921, 3840, 3440, 3520, 2240, 1700, 2364, 2067, 4000, 7000, 3628, 4230, 5538, 2000, 2504, 1600, 3250, 5940, 6261, 2100, 2584, 2532, 6489, 1000, 4479, 3900, 7700, 1450, 4120, 3106, 2941, 2768, 3570, 2800, 1600, 2550, 3200, 6512, 3082, 2308, 3798, 2692, 3000, 1620, 3790, 2430, 3420, 6434, 5924, 2872, 4880, 3470, 3836, 4422, 3070, 3190, 3860, 3122, 4252, 1906, 6341, 3581, 4769, 5432, 6150, 5500, 6700, 3307, 5420, 4635, 3918, 3919, 3992, 3919, 3916, 3971, 3919, 1060, 2200, 2700, 3000, 2600, 4150, 1600, 3706, 3100, 1044, 1670, 5850, 3932, 4045, 2300, 2700, 3290, 2000, 1800, 2400, 1200, 1700, 1950, 1500, 2800, 2700, 1050, 2422, 2200, 1922, 1400, 2956, 1800, 3402, 2550, 2000, 2072, 3075, 3300, 1200, 3200, 4400, 938, 3452, 5448, 2578, 6614, 2890, 4248, 2454, 2368, 3364, 3910, 4464, 3246, 1556, 1756, 5754, 2366, 2500, 4864, 2000, 1200, 8186, 2200, 4000, 2700, 2390, 2746, 2350, 3156, 3060, 6712, 2600, 4200, 5100, 4660, 4400, 4060, 5184, 3570, 6085, 2984, 2400, 3200, 4152, 6338, 4300, 3409, 2575, 3246, 4216, 3448, 4482, 4034, 3408, 8104, 3200, 3757, 2700, 4824, 3630, 3870, 3262, 2772, 5682, 4500, 3100, 2250, 8206, 2245, 5722, 3800, 4121, 2856, 1780, 6600, 3681, 4500, 3550, 3926, 5576, 5400, 6282, 2030, 3013, 2900, 1050, 3983, 375, 5400, 4498, 3912, 5154, 3764, 2650, 5080, 7208, 1950, 1500, 2446, 3096, 4860, 1850, 5302, 5302, 5302, 3000, 3650, 2748, 3096, 1850, 3660, 1400, 2500, 2000, 2425, 3348, 9804, 2100, 1100, 2010, 2000, 4452, 5990, 2920, 3450, 976, 3275, 1400, 2460, 4000, 1400, 2062, 2086, 2632, 3505, 5336, 3332, 2800, 1600, 2284, 3600, 1665, 4666, 2808, 2313, 3286, 4000, 3644, 2600, 2426, 2600, 2850, 2460, 4220, 3404, 3496, 2536, 4667, 2442, 4604, 3296, 2000, 3472, 2400, 2774, 2516, 2490, 3500, 3422, 3400, 3152, 3728, 5122, 4790, 4948, 1900, 5666, 3470, 1750, 1230, 3000, 3582, 3530, 2730, 3700, 2014, 4500, 1800, 5194, 2870, 2706, 1500, 5358, 1200, 4550, 2532, 2784, 2000, 3635, 3890, 2000, 8546, 5496, 4650, 4260, 5433, 3760, 6210, 4524, 2955, 2120, 2520, 2550, 2349, 1680, 3700, 1774, 3252, 2210, 3600, 3140, 1700, 4350, 2082, 3500, 3596, 1800, 4278, 2200, 1125, 2510, 1150, 4750, 1328, 2288, 1000, 2500, 1065, 5783, 1700, 2470, 4788, 2060, 2100, 1518, 6000, 1868, 3000, 3258, 3604, 5934, 2300, 1410, 2520, 2358, 3000, 2500, 3200, 2409, 1600, 3785, 2300, 3770, 3600, 2100, 3977, 3502, 4314, 4111, 4184, 3000, 3935, 5441, 4538, 4750, 3204, 2716, 6440, 3250, 5700, 6606, 5150, 6130, 4512, 4162, 3600, 5666, 5518, 3420, 6000, 3649, 8010, 3350, 3480, 4430, 3140, 3241, 4968, 3200, 2037, 3938, 5534, 6900, 6918, 4178, 5508, 3416, 4300, 2572, 3136, 3030, 1830, 4376, 3300, 2556, 2050, 2460, 4762, 3796, 3000, 2600, 4764, 3454, 3910, 4118, 4768, 5820, 4512, 4310, 4180, 4292, 4044, 4700, 4666, 4866, 4420, 3708, 4256, 4854, 4500, 4800, 3770, 3434, 3678, 5052, 4410, 2174, 2700, 2302, 2025, 3300, 1800, 4908, 4500, 4150, 6274, 770, 2892, 3734, 2975, 2600, 2980, 3120, 2754, 2000, 3180, 3330, 3960, 2703, 3000, 4170, 3542, 3561, 3495, 3180, 3400, 2620, 4065, 5332, 4790, 2800, 3310, 4896, 3520, 4840, 2500, 3150, 2700, 3306, 3300, 4830, 3040, 4800, 4800, 4800, 1780, 2236, 3816, 2668, 4401, 2925, 1000, 3400, 2924, 3282, 1800
#> $ tuitfee_grad_res              <dbl> 9366, 7588, 13090, 10342, 10470, 10696, 10380, 10576, 6824, 19140, 7948, 9821, 12110, 11506, 12383, 9407, 9284, 8350, 5918, 5958, 5881, 16178, 13152, 5940, 16444, 12140, 17650, 10341, 8123, 7994, 7876, 8333, 8306, 7689, 7579, 7826, 7830, 7726, 7649, 7853, 8166, 13237, 13064, 12683, 13338, 13085, 27266, 8150, 17022, 14980, 17635, 18032, 8475, 13500, 13818, 10587, 11232, 15776, 17332, 44448, 31420, 10980, 20272, 8350, 25824, 7750, 23360, 8684, 27594, 36657, 8654, 42305, 35080, 6898, 8452, 9983, 12610, 13407, 11716, 45591, 11250, 20904, 17450, 10956, 15996, 16712, 12570, 15860, 18450, 20745, 13650, 11219, 11298, 31752, 8240, 29112, 17626, 28845, 13410, 17820, 13150, 8872, 17590, 9876, 6657, 22588, 11097, 16925, 12737, 13320, 23164, 35216, 10367, 19175, 11155, 18996, 9630, 10428, 14076, 16768, 12719, 10664, 9062, 5004, 12136, 6966, 7556, 42980, 15652, 4706, 7209, 8728, 10762, 8910, 6490, 5958, 18600, 16168, 17320, 8440, 8502, 8530, 8971, 10800, 15560, 14688, 19290, 9705, 29980, 9268, 16343, 17888, 8970, 30284, 14410, 19442, 9662, 11352, 15372, 12906, 13839, 50864, 7797, 14945, 24750, 12880, 19309, 18320, 13677, 15550, 14583, 7954, 11325, 11663, 6950, 12420, 7872, 36080, 8997, 7328, 7243, 13000, 17333, 11498, 11700, 9549, 10357, 6996, 16300, 17964, 10230, 7806, 4055, 10068, 10438, 9712, 10532, 12000, 7732, 10764, 10085, 8360, 6078, 10950, 12204, 5970, 6702, 11400, 11887, 9076, 7575, 8298, 7852, 8662, 8369, 9332, 9450, 51010, 8666, 8460, 7670, 25150, 14648, 9106, 9540, 8310, 52210, 15900, 8514, 13256, 8478, 12167, 8370, 14166, 10530, 11650, 22420, 34380, 27306, 49886, 48595, 10238, 13736, 42830, 14793, 5742, 14679, 15613, 17218, 22913, 7191, 20718, 29835, 15399, 32385, 24120, 25404, 5364, 25818, 12232, 13732, 27666, 16355, 13712, 13486, 19266, 21794, 16764, 12022, 10391, 16338, 13219, 11020, 7217, 16503, 14235, 12778, 9630, 8550, 8532, 7854, 17735, 8820, 8256, 8100, 24600, 14436, 7662, 7404, 6546, 10080, 6418, 7261, 7744, 6878, 10806, 7780, 7659, 8700, 8670, 7384, 8622, 7596, 12978, 16332, 9405, 6893, 8025, 15520, 19896, 7408, 5554, 49280, 12690, 8500, 5893, 10335, 4803, 6090, 8810, 14038, 4731, 5500, 5287, 17175, 13735, 18810, 9738, 9860, 17120, 15858, 22434, 18910, 16070, 15678, 12140, 16472, 24856, 12140, 21814, 17676, 22689, 18633, 19536, 34514, 13900, 12024, 12384, 6017, 6016, 9306, 4941, 14376, 4650, 38958, 33487, 15034, 29936, 27250, 45554, 29585, 10438, 10562, 10560, 16850, 16484, 32651, 23290, 19606, 27198, 13826, 30176, 18045, 14040, 15776, 20120, 13660, 13230, 42886, 42368, 21970, 10700, 29680, 13782, 42078, 12290, 13194, 15196, 16533, 16110, 16228, 12694, 12921, 13347, 12566, 11581, 12154, 11933, 11385, 11350, 35874, 17200, 18033, 20000, 7721, 11875, 7288, 12654, 5533, 7772, 9900, 13875, 7447, 11606, 7278, 7753, 7124, 10572, 7043, 5924, 11520, 11730, 38010, 9450, 7192, 12820, 8240, 8643, 6532, 9136, 5713, 12697, 9397, 11250, 42610, 14468, 9679, 16070, 15085, 16008, 11090, 12267, 10620, 10260, 13528, 8964, 11325, 11070, 12425, 9510, 12600, 14721, 18812, 19236, 12070, 13474, 10920, 8902, 11175, 23440, 6794, 4572, 7735, 15804, 8169, 4770, 6426, 22720, 12196, 15504, 15180, 13801, 16243, 30634, 14565, 17496, 16002, 19560, 13403, 14165, 11610, 15508, 16391, 16722, 16688, 7962, 33024, 22212, 16430, 17920, 11934, 12222, 13522, 14515, 23590, 44350, 25560, 11420, 10715, 12060, 20912, 35604, 16848, 12240, 25550, 11402, 13272, 14976, 15363, 16676, 18017, 15840, 13991, 25100, 24096, 13260, 26832, 11826, 8880, 13362, 9280, 8242, 3790, 15075, 12984, 9682, 7650, 12798, 13440, 14612, 6840, 8558, 9773, 20890, 8780, 22860, 5700, 18576, 9371, 9024, 11446, 18986, 10463, 9234, 9876, 12834, 9896, 9420, 10371, 6426, 6890, 19890, 6395, 31500, 12590, 6300, 16208, 30200, 5059, 5776, 18966, 8434, 7768, 6990, 8938, 17505, 8006, 5717, 20115, 16390, 5878, 7183, 16206, 7144, 36252, 25242, 21258, 7323, 16250, 46560, 11310, 6427, 7968, 6109, 5369, 8904, 8819, 11300, 12418, 5623, 6376, 26688, 7101, 6718, 7525, 6886, 11800, 6349, 6680, 8036, 6277, 7822, 7527, 8589, 13594, 14436, 19249, 17012, 14258, 13226, 13775, 13724, 10811, 10752, 8430, 8912, 9618, 17100, 11480, 21494, 14532, 13143, 17680, 13914, 11794, 16881, 18402, 25481, 13800, 20118, 12753, 16266, 10503, 11952, 7504, 9000, 10876, 12015, 10539, 10290, 16164, 10305, 4860, 19350, 7936, 8911, 8762, 11789, 8706, 9036, 5673, 3552, 3552, 3552, 10002, 10992, 11460, 8649, 12380, 7645, 6790, 8961, 7813, 9000, 6834
#> $ tuitfee_grad_nres             <dbl> 17496, 17294, 13090, 22338, 26950, 28840, 10380, 21232, 12422, 19140, 15094, 18960, 12110, 24176, 32135, 18294, 19004, 19813, 10544, 10890, 10475, 16178, 13152, 8370, 16444, 12140, 17650, 19269, 17051, 16922, 16804, 17261, 17234, 16617, 16507, 16754, 16758, 16654, 16577, 16781, 17094, 28339, 28166, 27785, 28440, 28187, 27266, 8150, 17022, 14980, 17635, 18032, 17403, 13500, 13818, 10587, 11232, 15776, 17332, 44448, 31420, 10980, 20272, 17278, 25824, 16678, 23360, 17612, 27594, 36657, 17582, 42305, 35080, 12820, 24112, 20153, 30430, 13407, 25692, 45591, 11250, 20904, 17450, 23756, 37032, 16712, 12570, 15860, 18450, 20745, 13650, 24019, 24098, 31752, 8240, 29112, 17626, 28845, 13410, 17820, 13150, 28657, 17590, 24669, 18446, 22588, 24202, 16925, 30130, 13320, 23164, 35216, 21933, 19175, 11155, 18996, 9630, 21126, 14076, 16768, 12719, 10664, 24894, 15192, 12136, 14961, 13802, 42980, 30072, 14624, 20508, 28610, 26360, 8910, 17866, 17460, 18600, 37648, 17320, 22890, 22583, 23338, 8971, 10800, 15560, 14688, 19290, 19425, 29980, 16636, 25297, 17888, 16542, 30284, 14410, 19442, 9662, 11352, 15372, 12906, 22407, 50864, 14205, 14945, 24750, 12880, 19309, 18320, 13677, 15550, 30369, 12938, 15209, 11663, 6950, 12420, 7872, 36080, 17191, 14186, 16256, 13000, 17333, 11498, 11700, 22861, 27961, 6996, 16300, 17964, 10230, 20298, 10333, 10068, 23134, 9712, 22690, 12000, 17816, 10764, 10085, 16896, 13609, 10950, 12204, 5970, 6702, 16320, 28822, 21961, 18650, 21737, 18783, 20762, 20846, 19332, 23178, 51010, 25640, 8460, 19298, 25150, 20570, 14308, 11556, 8310, 52210, 15900, 12132, 26810, 15264, 12167, 13572, 14166, 10530, 11650, 22420, 34380, 27306, 49886, 48595, 10238, 13736, 42830, 14793, 5742, 26228, 31733, 33268, 22913, 8811, 20718, 29835, 27473, 32385, 24120, 25404, 5364, 25818, 18216, 13732, 27666, 29075, 13712, 13486, 19266, 43674, 32940, 20720, 15354, 24648, 24867, 11020, 7217, 33696, 29118, 12778, 9630, 8550, 8532, 15039, 26615, 8820, 12084, 8100, 24600, 14436, 7662, 10804, 6546, 10080, 6418, 17614, 22012, 6878, 10806, 20900, 16529, 8700, 8670, 14067, 8622, 7596, 12978, 16332, 9405, 11445, 8025, 15520, 19896, 12868, 10234, 49280, 12690, 8500, 20554, 10335, 8403, 14428, 22088, 14038, 8331, 19410, 19197, 17175, 13735, 18810, 11124, 9860, 17120, 15858, 22434, 18910, 16070, 15678, 19910, 21147, 24856, 17513, 30898, 17676, 22689, 30225, 19536, 34514, 19663, 12024, 19242, 11963, 9150, 24169, 15107, 14376, 10354, 38958, 33487, 15034, 29936, 27250, 45554, 29585, 19028, 19152, 19150, 16850, 16484, 32651, 23290, 19606, 27198, 13826, 30176, 18045, 14040, 15776, 20120, 13660, 13230, 42886, 42368, 21970, 10700, 29680, 13782, 42078, 12290, 13194, 15196, 16533, 16110, 16228, 24034, 24261, 24687, 23906, 22921, 23494, 23273, 22725, 22690, 35874, 17200, 18033, 20000, 20890, 11875, 20179, 12654, 16381, 7772, 9900, 13875, 19852, 28817, 20449, 21202, 19824, 25094, 19262, 16181, 11520, 11730, 38010, 9450, 17599, 12820, 8240, 20642, 15835, 14642, 5713, 12697, 15049, 11250, 42610, 26210, 16411, 16070, 15085, 16008, 19362, 12267, 10620, 10260, 30242, 8964, 11325, 11070, 32873, 17502, 12600, 25057, 18812, 19236, 12070, 22890, 10920, 13402, 11175, 23440, 15761, 9486, 22503, 15804, 22272, 10980, 12762, 22720, 14788, 15504, 15180, 23450, 26611, 30634, 22053, 17496, 19602, 19560, 13403, 20261, 11610, 22519, 16391, 16722, 24275, 7962, 33024, 22212, 16430, 17920, 11934, 12222, 13522, 21225, 23590, 44350, 25560, 19088, 10715, 12060, 35214, 35604, 16848, 12240, 25550, 11402, 13272, 21072, 22330, 22526, 18017, 15840, 20015, 25100, 24096, 13260, 26832, 11826, 8880, 25772, 9280, 8242, 3790, 15075, 32958, 19280, 7650, 27408, 24264, 27870, 6840, 15491, 23753, 20890, 8780, 22860, 5700, 18576, 23627, 9024, 11446, 18986, 19247, 23346, 25994, 31252, 15656, 21060, 24891, 6426, 6890, 19890, 13740, 31500, 12590, 14073, 16208, 30200, 13004, 13120, 18966, 17056, 14212, 14334, 18082, 17505, 15350, 13490, 20115, 16390, 7048, 14527, 16206, 15172, 36252, 25242, 21258, 14667, 16250, 46560, 11310, 13771, 16128, 13452, 12713, 19073, 17316, 21518, 24150, 13452, 13774, 26688, 22700, 13910, 14869, 14231, 11800, 7028, 6680, 23617, 19586, 18348, 23902, 17073, 13594, 14436, 19249, 40076, 30500, 13226, 13775, 32402, 10811, 28296, 8430, 8912, 18492, 17100, 28860, 21494, 27764, 25271, 28504, 13914, 26279, 16881, 18402, 25481, 13800, 20118, 26185, 28314, 20787, 11952, 16060, 23238, 10876, 12015, 10539, 10290, 16164, 10305, 4860, 19350, 7936, 18042, 17893, 24826, 17837, 18167, 14313, 3552, 3552, 3552, 28804, 10992, 11460, 17577, 12380, 16573, 6790, 31216, 16741, 9000, 19234
#> $ coa_grad_res                  <dbl> 22886, 25356, 25790, 25211, 28836, 30458, 24880, 23756, 18408, 35488, 20119, 27551, 32550, 26533, 29683, 24739, 25618, 23832, 21167, 24768, 19606, 26548, 19302, 21394, 34888, 30458, 36191, 27342, 26725, 22910, 26095, 25287, 23936, 25211, 24521, 26530, 25920, 25468, 26353, 22993, 25108, 29109, 30027, 30126, 29379, 30378, 45134, 26590, 28066, 34366, 37365, 37616, 25217, 32041, 32637, 30167, 27624, 35450, 35860, 62889, 49750, 29420, 38695, 25514, 44274, 26498, 42750, 27390, 46035, 53174, 27250, 59733, 53530, 21154, 26650, 26783, 28492, 24917, 23969, 61446, 26016, 40945, 37678, 26430, 31932, 33452, 28334, 31088, 35600, 35557, 28044, 26289, 27402, 46120, 17840, 46531, 37766, 44520, 28550, 38420, 31341, 24758, 34274, 26963, 25059, 40398, 29878, 30475, 27607, 34904, 40980, 55698, 25335, 47810, 26639, 37946, 25582, 25428, 37371, 33294, 20219, 22294, 21716, 20784, 27620, 22438, 22316, 60106, 33352, 19822, 27162, 25382, 23752, 21740, 21942, 20502, 34923, 33049, 38102, 22644, 23703, 21938, 21961, 19178, 29010, 23438, 36145, 21468, 40480, 28036, 32253, 33888, 23532, 41784, 25414, 33742, 21412, 33942, 31398, 24986, 28599, 70505, 23274, 29605, 36840, 25730, 36809, 37669, 25797, 27062, 28810, 20773, 25375, 21663, 13750, 28917, 20072, 50654, 23139, 20502, 19415, 24082, 28933, 23218, 25500, 21330, 23315, 20150, 32894, 30516, 24280, 20668, 16681, 23580, 24198, 25057, 22910, 27493, 20009, 21172, 23722, 23193, 22422, 28994, 23054, 19420, 23002, 23420, 34239, 21727, 21787, 22510, 22138, 22874, 22577, 24257, 23662, 67114, 22030, 19560, 21850, 35050, 34598, 26020, 20646, 23850, 64729, 26690, 29794, 32354, 26899, 23267, 23722, 23286, 19542, 26110, 29420, 51970, 40456, 67706, 62425, 26038, 25936, 53130, 27246, 15322, 22951, 29910, 30174, 40763, 22103, 39048, 44725, 28671, 51542, 38390, 41014, 15332, 41782, 21516, 24412, 43508, 27333, 29306, 26186, 35074, 36168, 29992, 24750, 24007, 27818, 27000, 23616, 19043, 32587, 27110, 33836, 22280, 21050, 20106, 27150, 30312, 17540, 20386, 19490, 37046, 26796, 19704, 20124, 24170, 22880, 18992, 20761, 23606, 20072, 25778, 23582, 22429, 23985, 22182, 19134, 19312, 17852, 28314, 30832, 20535, 18426, 19471, 31346, 35184, 20900, 18976, 69264, 31310, 14950, 19876, 24735, 18391, 19448, 23466, 26694, 15733, 21670, 21645, 33675, 28685, 37730, 23028, 26972, 36520, 32073, 37095, 34990, 33902, 30434, 30286, 32379, 38983, 29980, 40114, 36376, 35819, 40930, 30936, 51114, 31422, 19767, 30184, 18961, 20136, 25012, 18947, 31026, 19420, 56906, 48933, 25534, 43690, 40946, 68824, 46245, 30817, 30941, 30939, 32620, 31634, 48335, 44701, 37356, 42388, 29496, 59676, 36255, 30715, 28744, 40830, 26860, 28895, 59485, 63016, 43084, 26990, 51712, 25554, 56604, 23765, 26857, 31212, 28033, 30350, 31355, 25730, 24643, 29289, 31702, 28932, 28554, 27723, 26797, 28398, 54196, 35509, 32277, 36395, 20087, 28235, 21453, 27649, 16429, 17072, 25510, 23779, 20220, 28670, 21797, 19989, 22927, 24731, 21375, 18933, 25720, 23702, 55214, 20624, 21959, 23824, 21104, 20921, 18868, 25630, 15853, 28283, 22643, 28748, 60008, 33736, 25949, 31500, 23350, 31258, 26592, 23073, 22430, 21460, 29212, 19014, 23325, 23724, 28235, 25514, 26300, 28743, 32736, 31436, 24244, 28882, 25650, 22627, 24101, 32040, 26712, 17706, 22485, 31378, 24596, 15074, 18966, 39782, 25506, 29102, 27250, 29776, 29521, 45186, 32555, 27690, 29952, 31912, 23603, 27417, 24510, 31382, 30277, 32264, 32430, 24090, 53369, 37572, 25955, 33486, 17984, 30172, 25992, 29947, 33090, 55050, 40315, 28068, 23415, 28876, 38770, 53480, 23298, 28138, 44550, 23970, 26684, 28938, 28597, 35946, 34510, 25840, 30571, 36948, 37214, 27420, 40332, 22435, 25070, 27933, 23430, 24002, 17840, 24140, 29017, 23636, 24056, 28472, 26712, 26076, 20355, 23207, 25572, 38370, 21092, 35276, 21230, 33306, 24113, 22140, 25676, 31516, 25543, 23182, 23976, 30336, 24810, 21750, 27421, 20046, 25550, 33800, 19291, 47950, 24208, 19523, 33128, 43100, 18028, 18894, 34473, 26102, 24616, 20364, 26813, 32915, 20856, 16655, 35133, 28310, 17070, 20519, 28578, 18355, 52852, 39864, 37204, 20839, 24550, 58660, 31066, 19941, 19958, 21137, 18947, 26146, 22947, 26342, 27988, 20627, 21682, 44438, 22325, 26082, 22226, 18529, 28706, 20785, 19440, 21936, 18737, 18192, 22373, 22841, 26908, 28186, 36369, 30514, 29015, 25491, 24575, 32018, 28111, 25226, 24521, 20802, 24828, 35264, 26319, 35584, 27442, 30347, 32454, 26562, 26815, 32461, 31162, 39339, 26900, 37287, 28611, 35277, 25428, 25557, 20330, 20860, 23416, 24564, 23125, 24970, 28644, 21815, 12930, 37358, 19946, 19999, 20062, 25925, 19856, 21836, 20233, 18052, 18052, 18052, 22462, 23564, 28180, 25907, 29829, 27359, 13990, 23233, 26517, 30982, 23762
#> $ coa_grad_nres                 <dbl> 31016, 35062, 25790, 37207, 45316, 48602, 24880, 34412, 24006, 35488, 27265, 36690, 32550, 39203, 49435, 33626, 35338, 35295, 25793, 29700, 24200, 26548, 19302, 23824, 34888, 30458, 36191, 36270, 35653, 31838, 35023, 34215, 32864, 34139, 33449, 35458, 34848, 34396, 35281, 31921, 34036, 44211, 45129, 45228, 44481, 45480, 45134, 26590, 28066, 34366, 37365, 37616, 34145, 32041, 32637, 30167, 27624, 35450, 35860, 62889, 49750, 29420, 38695, 34442, 44274, 35426, 42750, 36318, 46035, 53174, 36178, 59733, 53530, 27076, 42310, 36953, 46312, 24917, 37945, 61446, 26016, 40945, 37678, 39230, 52968, 33452, 28334, 31088, 35600, 35557, 28044, 39089, 40202, 46120, 17840, 46531, 37766, 44520, 28550, 38420, 31341, 44543, 34274, 41756, 36848, 40398, 42983, 30475, 45000, 34904, 40980, 55698, 36901, 47810, 26639, 37946, 25582, 36126, 37371, 33294, 20219, 22294, 37548, 30972, 27620, 30433, 28562, 60106, 47772, 29740, 40461, 45264, 39350, 21740, 33318, 32004, 34923, 54529, 38102, 37094, 37784, 36746, 21961, 19178, 29010, 23438, 36145, 31188, 40480, 35404, 41207, 33888, 31104, 41784, 25414, 33742, 21412, 33942, 31398, 24986, 37167, 70505, 29682, 29605, 36840, 25730, 36809, 37669, 25797, 27062, 44596, 25757, 29259, 21663, 13750, 28917, 20072, 50654, 31333, 27360, 28428, 24082, 28933, 23218, 25500, 34642, 40919, 20150, 32894, 30516, 24280, 33160, 22959, 23580, 36894, 25057, 35068, 27493, 30093, 21172, 23722, 31729, 29953, 28994, 23054, 19420, 23002, 28340, 51174, 34612, 32862, 35949, 33069, 34974, 35054, 34257, 37390, 67114, 39004, 19560, 33478, 35050, 40520, 31222, 22662, 23850, 64729, 26690, 33412, 45908, 33685, 23267, 28924, 23286, 19542, 26110, 29420, 51970, 40456, 67706, 62425, 26038, 25936, 53130, 27246, 15322, 34500, 46030, 46224, 40763, 23723, 39048, 44725, 40745, 51542, 38390, 41014, 15332, 41782, 27500, 24412, 43508, 40053, 29306, 26186, 35074, 58048, 46168, 33448, 28970, 36128, 38648, 23616, 19043, 49780, 41993, 33836, 22280, 21050, 20106, 34335, 39192, 17540, 24214, 19490, 37046, 26796, 19704, 23524, 24170, 22880, 18992, 31114, 37874, 20072, 25778, 36702, 31299, 23985, 22182, 25817, 19312, 17852, 28314, 30832, 20535, 22978, 19471, 31346, 35184, 26360, 23656, 69264, 31310, 14950, 34537, 24735, 21991, 27786, 36744, 26694, 19333, 35580, 35555, 33675, 28685, 37730, 24414, 26972, 36520, 32073, 37095, 34990, 33902, 30434, 38056, 37054, 38983, 35353, 49198, 36376, 35819, 52522, 30936, 51114, 37185, 19767, 37042, 24907, 23270, 39875, 29113, 31026, 25124, 56906, 48933, 25534, 43690, 40946, 68824, 46245, 39407, 39531, 39529, 32620, 31634, 48335, 44701, 37356, 42388, 29496, 59676, 36255, 30715, 28744, 40830, 26860, 28895, 59485, 63016, 43084, 26990, 51712, 25554, 56604, 23765, 26857, 31212, 28033, 30350, 31355, 37070, 35983, 40629, 43042, 40272, 39894, 39063, 38137, 39738, 54196, 35509, 32277, 36395, 33256, 28235, 34344, 27649, 27277, 17072, 25510, 23779, 32625, 45881, 34968, 33438, 35627, 39253, 33594, 29190, 25720, 23702, 55214, 20624, 32366, 23824, 21104, 32920, 28171, 31136, 15853, 28283, 28295, 28748, 60008, 45478, 32681, 31500, 23350, 31258, 34864, 23073, 22430, 21460, 45926, 19014, 23325, 23724, 48683, 33506, 26300, 39079, 32736, 31436, 24244, 38298, 25650, 27127, 24101, 32040, 35679, 22620, 37253, 31378, 38699, 21284, 25302, 39782, 28098, 29102, 27250, 39425, 39889, 45186, 40043, 27690, 33552, 31912, 23603, 33513, 24510, 38393, 30277, 32264, 40017, 24090, 53369, 37572, 25955, 33486, 17984, 30172, 25992, 36657, 33090, 55050, 40315, 35736, 23415, 28876, 53072, 53480, 23298, 28138, 44550, 23970, 26684, 35034, 35564, 41796, 34510, 25840, 36595, 36948, 37214, 27420, 40332, 22435, 25070, 40343, 23430, 24002, 17840, 24140, 48991, 33234, 24056, 43082, 37536, 39334, 20355, 30140, 39552, 38370, 21092, 35276, 21230, 33306, 38369, 22140, 25676, 31516, 34327, 37294, 40094, 48754, 30570, 33390, 41941, 20046, 25550, 33800, 26636, 47950, 24208, 27296, 33128, 43100, 25973, 26238, 34473, 34724, 31060, 27708, 35957, 32915, 28200, 24428, 35133, 28310, 18240, 27863, 28578, 26383, 52852, 39864, 37204, 28183, 24550, 58660, 31066, 27285, 28118, 28480, 26291, 36315, 31444, 36560, 39720, 28456, 29080, 44438, 37924, 33274, 29570, 25874, 28706, 21464, 19440, 37517, 32046, 28718, 38748, 31325, 26908, 28186, 36369, 53578, 45257, 25491, 24575, 50696, 28111, 42770, 24521, 20802, 33702, 35264, 43699, 35584, 40674, 42475, 43278, 26562, 41300, 32461, 31162, 39339, 26900, 37287, 42043, 47325, 35712, 25557, 28886, 35098, 23416, 24564, 23125, 24970, 28644, 21815, 12930, 37358, 19946, 29130, 29193, 38962, 28987, 30967, 28873, 18052, 18052, 18052, 41264, 23564, 28180, 34835, 29829, 36287, 13990, 45488, 35445, 30982, 36162

Can create factor version of a variable using as_factor() function

• we will do this for you; because this isn’t a class on programming/data management

Working with factor class variables (e.g., df_mba_fac$s3region)

• underlying data type: integer atomic vector
• class: factor
• name of value label attribute: levels
• Underlying data are integers, but the values of the levels attribute is what’s displayed in R output:
• refer to values of labelled class variable:
  • using variable values (not values of labels attribute)
  • or by wrapping factor variable in as.integer() to refer to underlying variable values

# printing a few observations
df_mba_fac$region[1:5]
#> [1] Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV) Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV) Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV) Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV) Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)
#> Levels: U.S. Service Schools New England (CT, ME, MA, NH, RI, VT) Mid East (DE, DC, MD, NJ, NY, PA) Great Lakes (IL, IN, MI, OH, WI) Plains (IA, KS, MN, MO, NE, ND, SD) Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV) Southwest (AZ, NM, OK, TX) Rocky Mountains (CO, ID, MT, UT, WY) Far West (AK, CA, HI, NV, OR, WA) Outlying Areas (AS, FM, GU, MH, MP, PR, PW, VI)

df_mba_fac$control[1:5]
#> [1] Public                 Public                 Private not-for-profit Public                 Public                
#> Levels: {Not available} Public Private not-for-profit Private for-profit

typeof(df_mba_fac$region)
#> [1] "integer"
class(df_mba_fac$region)
#> [1] "factor"
attributes(df_mba_fac$region)
#> $levels
#>  [1] "U.S. Service Schools"                                       "New England (CT, ME, MA, NH, RI, VT)"                       "Mid East (DE, DC, MD, NJ, NY, PA)"                          "Great Lakes (IL, IN, MI, OH, WI)"                           "Plains (IA, KS, MN, MO, NE, ND, SD)"                        "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)" "Southwest (AZ, NM, OK, TX)"                                 "Rocky Mountains (CO, ID, MT, UT, WY)"                       "Far West (AK, CA, HI, NV, OR, WA)"                          "Outlying Areas (AS, FM, GU, MH, MP, PR, PW, VI)"           
#> 
#> $class
#> [1] "factor"
#> 
#> $label
#> [1] "Region (IPEDS)"
attr(df_mba_fac$region,"levels")
#>  [1] "U.S. Service Schools"                                       "New England (CT, ME, MA, NH, RI, VT)"                       "Mid East (DE, DC, MD, NJ, NY, PA)"                          "Great Lakes (IL, IN, MI, OH, WI)"                           "Plains (IA, KS, MN, MO, NE, ND, SD)"                        "Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)" "Southwest (AZ, NM, OK, TX)"                                 "Rocky Mountains (CO, ID, MT, UT, WY)"                       "Far West (AK, CA, HI, NV, OR, WA)"                          "Outlying Areas (AS, FM, GU, MH, MP, PR, PW, VI)"


# frequency count
df_mba_fac %>% count(region)
#> # A tibble: 9 x 2
#>   region                                                         n
#>   <fct>                                                      <int>
#> 1 New England (CT, ME, MA, NH, RI, VT)                          54
#> 2 Mid East (DE, DC, MD, NJ, NY, PA)                            125
#> 3 Great Lakes (IL, IN, MI, OH, WI)                             103
#> 4 Plains (IA, KS, MN, MO, NE, ND, SD)                           60
#> 5 Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)   150
#> 6 Southwest (AZ, NM, OK, TX)                                    67
#> 7 Rocky Mountains (CO, ID, MT, UT, WY)                          22
#> 8 Far West (AK, CA, HI, NV, OR, WA)                             81
#> 9 Outlying Areas (AS, FM, GU, MH, MP, PR, PW, VI)                3

# filter based on underlying values of the variable
  # rocky mountains area
  df_mba_fac %>% filter(region=="Rocky Mountains (CO, ID, MT, UT, WY)") %>% count(stabbr)
#> # A tibble: 5 x 2
#>   stabbr     n
#>   <chr>  <int>
#> 1 CO         8
#> 2 ID         4
#> 3 MT         1
#> 4 UT         8
#> 5 WY         1
  df_mba_fac %>% filter(as.integer(region)==8) %>% count(stabbr)
#> # A tibble: 5 x 2
#>   stabbr     n
#>   <chr>  <int>
#> 1 CO         8
#> 2 ID         4
#> 3 MT         1
#> 4 UT         8
#> 5 WY         1

9 Interpretation of \(\hat{\beta}\)

text

9.1 Continuous \(X\)

In order to practice interpretation of \(\hat{\beta}_1\) when \(X\) is continuous, we’ll investigate the relationship between annual cost of attendance (\(X\)) and institution-level student earnings (\(Y\)) for graduates of MBA programs using the data frame df_mba_fac

• \(X\) annual cost of attendance, measured by the variable coa_grad_res; variable label: graduate, full-time, state resident COA; == tuition + fees + (ug) books/supplies + (ug) off-campus room and board + (ug) off-campus other expenses
• \(Y\) earnings, measured by the variable earn_mdn_hi_2yr, which is median earnings two years after graduation of students who graduated from the program

Investigate the dataset

#df_mba_fac %>% glimpse()

# characteristics of universities offering MBA programs in our dataset
df_mba_fac %>% count(control)
#> # A tibble: 2 x 2
#>   control                    n
#>   <fct>                  <int>
#> 1 Public                   307
#> 2 Private not-for-profit   358

df_mba_fac %>% count(ccbasic) # carnegie classification
#> # A tibble: 6 x 2
#>   ccbasic                                                n
#>   <fct>                                              <int>
#> 1 Doctoral Universities: Very High Research Activity    99
#> 2 Doctoral Universities: High Research Activity         97
#> 3 Doctoral/Professional Universities                   102
#> 4 Master's Colleges & Universities: Larger Programs    240
#> 5 Master's Colleges & Universities: Medium Programs    100
#> 6 Master's Colleges & Universities: Small Programs      27

df_mba_fac %>% count(urban) # level of urbanization
#> # A tibble: 4 x 2
#>   urban                  n
#>   <fct>              <int>
#> 1 large city (250k+)   177
#> 2 med/small city       201
#> 3 suburb               171
#> 4 town/rural           116


# mean values for interesting variables
  df_mba_fac %>% 
    summarize(
      n = n(),
      tuitfee_grad_res = mean(tuitfee_grad_res, na.rm = TRUE),
      tuitfee_grad_nres = mean(tuitfee_grad_nres, na.rm = TRUE),
      coa_grad_res = mean(coa_grad_res, na.rm = TRUE),
      coa_grad_nres = mean(coa_grad_nres, na.rm = TRUE),
      debt = mean(debt_all_stgp_eval_mean, na.rm = TRUE),  # institution-level mean debt
      earn_2yr = mean(earn_mdn_hi_2yr, na.rm = TRUE),
    ) 
#> # A tibble: 1 x 7
#>       n tuitfee_grad_res tuitfee_grad_nres coa_grad_res coa_grad_nres   debt earn_2yr
#>   <int>            <dbl>             <dbl>        <dbl>         <dbl>  <dbl>    <dbl>
#> 1   665           14112.            18749.       28942.        33579. 37575.   71207.

Graphically visualize the relationship between annual cost of attendance (\(X\)) and earnings (\(Y\))

• the blue prediction line is just the OLS prediction line

df_mba_fac %>%  ggplot(aes(x=coa_grad_res, y=earn_mdn_hi_2yr)) + geom_point() + stat_smooth(method = 'lm')

Visually, the relationship between annual COA and earnings for MBA programs seems to be much stronger than the relationship between COA and earnings for social work programs (below)

df_socialwork %>%  ggplot(aes(x=coa_grad_res, y=earn_mdn_hi_2yr)) + geom_point() + stat_smooth(method = 'lm')

Run OLS regression model of relationship between annual cost of attendance (\(X\)) and earnings (\(Y\)); and summarize model results

mbdamod1 <- lm(formula = earn_mdn_hi_2yr ~ coa_grad_res, data = df_mba_fac)


summary(mbdamod1)
#> 
#> Call:
#> lm(formula = earn_mdn_hi_2yr ~ coa_grad_res, data = df_mba_fac)
#> 
#> Residuals:
#>    Min     1Q Median     3Q    Max 
#> -55539 -11672  -2574   9085  81940 
#> 
#> Coefficients:
#>                 Estimate  Std. Error t value            Pr(>|t|)    
#> (Intercept)  44311.88367  2387.77061   18.56 <0.0000000000000002 ***
#> coa_grad_res     0.92413     0.07782   11.88 <0.0000000000000002 ***
#> ---
#> Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
#> 
#> Residual standard error: 18590 on 602 degrees of freedom
#>   (61 observations deleted due to missingness)
#> Multiple R-squared:  0.1898, Adjusted R-squared:  0.1885 
#> F-statistic:   141 on 1 and 602 DF,  p-value: < 0.00000000000000022


#square root of sum of squared residuals divided by degress of freedom
sqrt(anova(mod2)$"Sum Sq"[2]/anova(mod2)$Df[2])
#> [1] 6186.224

#or 
summary(mod2)$sigma
#> [1] 6186.224

Present research question and models

• Research question
  • posed in a correlational way:
    • What is the relationship between annual cost of attendance (\(X\)) and institution-level student earnings (\(Y\)) for graduates of MBA programs?
  • posed in a causal effects way:
    • What is the effect of cost of attendance (\(X\)) on institution-level student earnings (\(Y\)) for graduates of MBA programs?
  • truly answering the causal question would require an experiment (randomly assigning MBA students to programs with different levels of cost of attenance), so we’ll answer the correlational research question
• Population Linear Regression Model
  • \(Y_i = \beta_0 + \beta_1X_i + u_i\)
  • where:
    • \(Y_i\): institution-level student earnings (in dollars) at university \(i\)
      • measured by the variable earn_mdn_hi_2yr, which is median earnings two years after graduation of students who graduated from the program
    • \(X_i\): annual cost of attendance (in dollars) for full-time resident graduate students at university \(i\)
      • measured by the variable coa_grad_res; variable label: graduate, full-time, state resident COA; == tuition + fees + (ug) books/supplies + (ug) off-campus room and board + (ug) off-campus other expenses
        • note: this variable is based on average graduate tuition price; price of MBA programs may be different (e.g., higher at very fancy MBA programs)
    • \(\beta_1\): population regression coefficient, is the average change in the value of \(Y\) associated with a one-unit increase in \(X\)
    • \(\beta_0\): population intercept; average value of \(Y\) when \(X=0\)
• OLS Prediction Line (without estimates)
  • \(\hat{Y_i} = \hat{\beta_0} + \hat{\beta_1}X_i\)
• OLS Prediction Line (with estimates)
  • \(\hat{Y_i} =\) 44,311.88 + 0.92 \(\times X_i\)

Interpretation of \(\hat{\beta_1}\)

• General interpretation of \(\hat{\beta_1}\) [always true!]
  • (we estimate that) one-unit increase in \(X\) is associated with a \(\hat{\beta_1}\) unit change (negative = “decrease” or positive = “increase”) in \(Y\)
• When interpreting value of \(\hat{\beta_1}\) obtained after running regression model, modify the general interpretation to include:
  • the name of the \(X\) variable; what unit \(X\) is measured in (e.g., dollars); name of the \(Y\) variable; what unit \(Y\) is measured in; other relevant information (e.g., the sample you are studying)
• Interpretation of \(\hat{\beta_1}=\) 0.92
  • barely passable interpretation: “a one-unit increase in \(X\) is associated with a 0.92 unit increase in \(Y\)”
  • better interpretation: “a one-dollar increase in annual cost of attendance is associated with a 0.92 dollar increase in institution-level student earnings”

9.1.1 Change \(\Delta\) in \(Y\) associated with \(\Delta\) in \(X\)

Questions that might arise about \(\hat{\beta_1}\)

• Does the expected change in \(Y\) associated with a one-unit change in \(X\) depend on the starting value of \(X\)?
• If \(X\) changes by more than one unit or by less than one unit, how much would we expect \(Y\) to change?

Recall that our OLS model is estimating the linear relationship between \(X\) and \(Y\)

• linear relationship can be seen visually in the below graph of the OLS prediction line

df_mba_fac %>%  ggplot(aes(x=coa_grad_res, y=earn_mdn_hi_2yr)) + geom_point() + stat_smooth(method = 'lm')

Does the expected change in \(Y\) associated with a one-unit change in \(X\) depend on the starting value of \(X\)? ANSWER: NO!

• Think of \(\hat{\beta_1}\) as measuring the slope of our prediction line
  • \(\hat{\beta_1} = \frac{\Delta Y}{\Delta X}\)
  • in a straight (linear) line, slope is constant
  • that is, the expected \(\Delta Y\) associated with a one-unit increase in \(X\) does not depend on the starting value of \(X\)
• Therefore, a one-unit change in \(X\) is associated with a \(\hat{\beta_1}\) change in \(Y\) no matter the starting value of \(X\), for example:
  • going from \(X=20,000\) to \(X=20,001\) is associated with a \(\hat{\beta_1}=\) 0.92 increase in \(Y\)
  • going from \(X=40,000\) to \(X=40,001\) is associated with a \(\hat{\beta_1}=\) 0.92 increase in \(Y\)

What is the predicted change \(\Delta\) in \(Y\) associated with a \(\Delta\) in \(X\) that is not a one-unit increase in \(X\)? ANSWER: \(\hat{\beta_1}*\Delta X\)

• let’s define \(\Delta X\) as the number of units that \(X\) changes by, for example:
  • \(\Delta X = 5,000\): this is a \(5,000\) unit increase in \(X\); or (said different) a \(5,000\) dollar increase in cost of attendance
  • \(\Delta X = -200\): this is a \(200\) unit decrease in \(X\); or (said different) a \(200\) dollar decrease in cost of attendance
• Expected \(\Delta\) in \(Y\) for a \(\Delta X\)-unit change in \(X\) is a \(\hat{\beta_1}*\Delta X\) unit change in \(Y\)
• Example:
  • \(\Delta X = 5,000\): a \(5,000\) dollar increase in annual cost of attendance is associated with a \(\hat{\beta_1}*\Delta X=\) 4620.64 increase in predicted institution-level student earinings
  • \(\Delta X = -200\): a \(200\) dollar decrease in annual cost of attendance is associated with a \(\hat{\beta_1}*\Delta X=\) -184.83 decrease in predicted institution-level student earinings

9.2 Categorical \(X\)

Many independent variables of interest are categorical rather than continous. This section focuses on interpreting \(\hat{\beta_1}\) associated with a categorical \(X\) variable

How to distinguish between continuous and categorical variables when running regression?

• Continous variables:
  • Difference between one value and another is quantitative
  • e.g., SAT score of 900 vs. 1000; income of $40k vs $45k, GPA of 2.0 vs. 2.1
• Categorical variables:
  • Difference between one value and another cannot be measured quantitatively
  • e.g., race/ethnicity, parent education is B.A. vs M.D., political ideology

Many program evaluation questions involve a categorical independent variable of interest

• What is the effect of receiving a pell grant on on-time college completion?
• What is the effect of participating in Mexican American Studies program on high school graduation?
• What is the effect of Head Start pre-k on Kindergarten reading levels?
• What is the effect of class size (small vs large) on student learning?

General Steps for Regression with Categorical \(X\)

• Identify categories of \(X\) and choose a “reference” group
  • the “reference group” or “base level” is the group that all other groups will be compared to
• Create a factor variable that has categories for each group (or create separate 0/1 variables for each group)
• Write out population model and OLS regression line
• Run regression in R
• Interpret estimates

How we will teach interpretation of \(\hat{\beta_1}\) with categorical \(X\) variable

• we’ll start with a two-category \(X\) variable (sometimes called a “dichotomous” variable or a “0/1” variable or a “dummy” variable)
• then we’ll discuss interpretation when the categorical variable has more than two categories

9.2.1 Two-category \(X\) variable

Present research question and models

• Research question
  • posed in a correlational way:
    • What is the relationship between annual cost of attendance (\(X\)) and institution-level student earnings (\(Y\)) for graduates of MBA programs?
  • posed in a causal effects way:
    • What is the effect of cost of attendance (\(X\)) on institution-level student earnings (\(Y\)) for graduates of MBA programs?
  • truly answering the causal question would require an experiment (randomly assigning MBA students to programs with different levels of cost of attenance), so we’ll answer the correlational research question
• Population Linear Regression Model
  • \(Y_i = \beta_0 + \beta_1X_i + u_i\)
  • where:
    • \(Y_i\): institution-level student earnings (in dollars) at university \(i\)
      • measured by the variable earn_mdn_hi_2yr, which is median earnings two years after graduation of students who graduated from the program
    • \(X_i\): annual cost of attendance (in dollars) for full-time resident graduate students at university \(i\)
      • measured by the variable coa_grad_res; variable label: graduate, full-time, state resident COA; == tuition + fees + (ug) books/supplies + (ug) off-campus room and board + (ug) off-campus other expenses
        • note: this variable is based on average graduate tuition price; price of MBA programs may be different (e.g., higher at very fancy MBA programs)
    • \(\beta_1\): population regression coefficient, is the average change in the value of \(Y\) associated with a one-unit increase in \(X\)
    • \(\beta_0\): population intercept; average value of \(Y\) when \(X=0\)
• OLS Prediction Line (without estimates)
  • \(\hat{Y_i} = \hat{\beta_0} + \hat{\beta_1}X_i\)
• OLS Prediction Line (with estimates)
  • \(\hat{Y_i} =\) 44,311.88 + 0.92 \(\times X_i\)

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10 References